A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

S

s - Variable in class net.sf.snowball.Among

s - Variable in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

inverse component variances (precisions)

s_size - Variable in class net.sf.snowball.Among

sample(ArmSampler.Envelope, ArmSampler.Point) - Method in class org.knowceans.arms.ArmSampler

To sample from piecewise exponential envelope

SAMPLE_LAG - Static variable in class org.knowceans.dirichlet.lsam.LsamGibbsSampler

sample lag (if <=0 only one sample taken at the end)

SAMPLE_LAG - Variable in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated. sample lag (if -1 only one sample taken)

sampleAlpha() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample alpha using ARS.

sampleAlpha() - Method in class org.knowceans.sandbox.ilda.IldaGibbsSampler

sample alpha from a Gam(1,1) distribution using Escobar & West's method

sampleAtmFullConditional(AtmMarkovState, int, int) - Method in class org.knowceans.dirichlet.atm.AtmGibbsSampler

Sample an actor--topic pair (x_i, z_i) from the full conditional distribution: p(x_i = q,z_i = j|z_-i, w, x_i, a_d, r_d) = (cwt_mj + beta)/(cwtsum_j + W * beta) * (cat_qjr + alpha)/(catsum_qr + K * alpha)

sampleBeta() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample beta using ARS.

sampleC(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample component association to data point i with likelihood.

sampleC(int) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample component association to data point i with likelihood.

sampleComponent(double[]) - Method in class org.knowceans.dirichlet.dmm.DmmGibbsSampler

Sampling a component, P(z_j=i | x_j, theta) = pi_i * f(x_j | theta_j) / sum_m pi_m f(x_j | theta_m) Calculate the probability that the observation originated from each component.

sampleCorpus(AtmMarkovState) - Method in class org.knowceans.dirichlet.atm.AtmGibbsSampler

Sample once through the corpus and update the corresponding state.

sampleCorpus(LdaMarkovState) - Method in class org.knowceans.dirichlet.lda.LdaGibbsSampler

Sample once through the corpus and update the corresponding state.

sampleCorpus() - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated. sample once through the corpus.

sampleCorpus(LdaMarkovState) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerHyper

sampleCrp() - Method in class org.knowceans.sandbox.hlda.ChineseRestaurantProcess

sample a cluster according to the CRP scheme: CRP example: index : [0] [1] [2] draw 1: 1 0 0 e.g., -> [0] draw 2: 1/(1+gamma) gamma/(1+gamma) 0 -> [1] draw 3: 1/(2+gamma) 1/(2+gamma) gamma/(2+gamma) -> [0] draw 4: 2/(3+gamma) 1/(3+gamma) gamma/(3+gamma) -> [1] i.e., the probability of drawing [2] becomes lower with every draw, leading to an aggregated probability of cluster number that is p(clusters) ~ log(datasize).

sampleCrp() - Method in class org.knowceans.sandbox.hlda.NestedCrpNode

returns the child node sampled from the CRP.

sampleCrpC(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample component association to data point i using Chinese restaurant process including likelihood term.

sampleCrpC(int) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample component association to data point i using Chinese restaurant process including likelihood term.

sampleCrpFullConditional(int) - Method in class org.knowceans.sandbox.hlda.HldaGibbsSampler

Sample a tree path c_m from the full conditional distribution: p(c_m | c_-m, w_-m, z) \propto p(w_m | c, w_-m, z) p(c_m | c_-m), where p(c_m | c_-m) = m_i / (gamma + m - 1) for occupied tables and = gamma / (gamma + m - 1) for unoccupied tables is the CRP prior.

sampleCrpPriorC(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample component association to data point i using Chinese restaurant process.

sampleFullConditional(int, int) - Method in class org.knowceans.dirichlet.lsam.LsamGibbsSampler

Sample an actor--topic pair (x_i, z_i) from the full conditional distribution: p(x_i = q,z_i = j|z_-i, w, x_i, a_d, r_d) = (cwt_mj + beta)/(cwtsum_j + W * beta) * (cat_qjr + alpha)/(catsum_qr + K * alpha)

sampleGammaDist(double, double) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

Gamma distribution with mean as a parameter b (normally mean = a*b)

sampleGammaDist(double, double) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

Gamma distribution with mean as a parameter b (normally mean = a*b)

sampleGroup(double, int, double[], double[], double[]) - Method in class org.knowceans.sandbox.gauss.GmmGibbsSampler

Sampling a component, P(z_j=i | x_j, theta) = pi_i * f(x_j | theta_j) / sum_m pi_m f(x_j | theta_m) Calculate the probability that the observation originated from each component.

sampleGroup(double, int, double[], double[], double[]) - Method in class org.knowceans.sandbox.gauss.GmmGibbsSampler2

Sampling a component, P(z_j=i | z_-j, x_j, theta) = pi_i * f(x_j | theta_j) / sum_m pi_m f(x_j | theta_m) Calculate the probability that the observation originated from each component.

sampleHierarchical() - Method in class org.knowceans.sandbox.hlda.NestedCrpNode

given tbe probability assignments in the nodes and the L-vector newprob for new CRP paths, sample a path hierarchically.

sampleHyperParameters() - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerHyper

Sample scalar hyperparameters from the observations using adaptive rejective metropolis sampling with rasmussen's vague inverse-gamma prior

sampleLag - Variable in class org.knowceans.dirichlet.lda.LdaConfiguration

sample lag (if -1 only one sample taken)

sampleLambda() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample the component means' mean.

sampleLdaFullConditional(LdaMarkovState, int, int) - Method in class org.knowceans.dirichlet.lda.LdaGibbsSampler

Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta)/(n_-i,j(.) + W * beta) * (n_-i,j(d_i) + alpha)/(n_-i,.

sampleLdaFullConditional(int, int) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated. Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta)/(n_-i,j(.) + W * beta) * (n_-i,j(d_i) + alpha)/(n_-i,.

sampleLdaFullConditional(LdaMarkovState, int, int) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerHyper

Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta(w_i))/(n_-i,j(.) + sum beta) * (n_-i,j(d_i) + alpha(j))/(n_-i,.

sampleLdaFullConditional(int, int) - Method in class org.knowceans.sandbox.ilda.IldaGibbsSampler

Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta)/(n_-i,j(.) + W * beta) * (n_-i,j(d_i) + alpha)/(n_-i,.

sampleMu(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample the means.

sampleMu(int) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample the means.

sampleMuUnrep() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample from prior on s for unrepresented classes

sampleMuUnrep() - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample from prior on s for unrepresented classes

sampleNormalDist(double, double) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

Normal distribution with variance as parameter instead of standard deviation.

sampleNormalDist(double, double) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

Normal distribution with variance as parameter instead of standard deviation.

samplePath(int) - Method in class org.knowceans.sandbox.hlda.NestedCrpNode

calculates the word conditionals, which, in conjunction with the CRP prior, yield the path probabilities.

samplePath() - Method in class org.knowceans.sandbox.hlda.NestedCrpNode

sample once from the nested CRP and update the occupation numbers

samplePi() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample the component weights ~ Dirichlet.

samplePrior(double, double, double) - Method in class org.knowceans.sandbox._AlphaSampler

samplePriorC(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample component association to data point i using Dirichlet distribution.

sampleProb(boolean) - Method in class org.knowceans.sandbox.hlda.NestedCrpNode

Sample according to probability assignments in the prob field.

sampleR() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample means' precision.

sampler - Variable in class org.knowceans.sandbox.hlda.NestedCrpNode

backref to sampler (to avoid duplicate variables)

sampleS(int) - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample precision for component j.

sampleS(int) - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample precision for component j.

sampleSUnrep() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample from prior on mu for unrepresented classes

sampleSUnrep() - Method in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

sample from prior on mu for unrepresented classes

sampleW() - Method in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

sample precisions' precision.

save(String) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser.DistMetric

saves the distance metric in a human readable format

save(String) - Method in class org.knowceans.corpus.parsers.nips.NipsExtractor

save(String) - Method in class org.knowceans.dirichlet.atm.AtmMarkovState

Save (optionally compressed) file.

save(String) - Method in class org.knowceans.dirichlet.lda.LdaGibbsSampler

Object stream only for testing.

save(String) - Method in class org.knowceans.dirichlet.lda.LdaMarkovState

Save (optionally compressed) file.

save(String) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated. Object stream only for testing.

save(String) - Method in class org.knowceans.dirichlet.sandbox.LdaMarkovStateHyper

saveCatTopics(double[][], double[], String) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

saves the 10 best topics for each category.

saveDocSimilarities(IndexRanking[], String) - Method in class org.knowceans.corpus.analysis.LdaSimilarityAnalyser

Saves the document similarities to a file

saveMatching(String, Vector<TreeMultiMap<Double, Integer>>, String, String) - Static method in class org.knowceans.corpus.analysis.AtmTopicsConverter

save the matching information between actors.

saveReadable(String) - Static method in class org.knowceans.corpus.util.CorpusIo

saveShades(String, double[][], double, String, boolean, String) - Static method in class org.knowceans.corpus.util.CorpusIo

save the matrix as a "shade" file, with optional additional information on the non-topics (that should be along rows).

saveState(String) - Method in class org.knowceans.dirichlet.atm.AtmGibbsSampler

Saves the current state of the markov chain and the parameters to a file.

saveState(String) - Method in class org.knowceans.dirichlet.lda.LdaGibbsSampler

Saves the current state of the markov chain and the parameters to a file.

saveTermSimilarities(IndexRanking[], String) - Method in class org.knowceans.corpus.analysis.LdaSimilarityAnalyser

Saves the term similarities to a file

saveTopicCats(double[][], double[], String) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

saves the 10 best categories for each topic: p(r | s) = p(r, s) / p(s)

saveTopics(String, Vector<TreeMultiMap<Double, Integer>>, String, String) - Static method in class org.knowceans.corpus.analysis.TopicsConverter

saves a topic hashmap to a readable file; looks up the row labels (terms or document names) from additional file.

sco - Variable in class org.knowceans.corpus.parsers.dpa.DpaDocument

<sco>dpa 40-topic categories (multiple; 4-letter German ids) </sco>

sco - Variable in class org.knowceans.corpus.parsers.epg.EpgDocument

categories

sco - Variable in class org.knowceans.corpus.parsers.reuters.ReutersDocument

categories

sectionIndex - Variable in class org.knowceans.corpus.parsers.nips.NipsDocument

contains section heading numbers and index into word list

sentenceBuffer - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser

sentenceBuffer - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser2

sentenceIndex - Variable in class org.knowceans.corpus.ADocument

Indices into txt where sentences start.

serialVersionUID - Static variable in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

serialVersionUID - Static variable in class org.knowceans.corpus.parsers.dpa.IptcCategories

serialVersionUID - Static variable in class org.knowceans.dirichlet.atm.AtmGibbsQuerySampler

serialVersionUID - Static variable in class org.knowceans.dirichlet.atm.AtmGibbsSampler

serialVersionUID - Static variable in class org.knowceans.dirichlet.atm.AtmMarkovState

serialVersionUID - Static variable in class org.knowceans.dirichlet.lda.ExtLdaConfiguration

serialVersionUID - Static variable in class org.knowceans.dirichlet.lda.LdaConfiguration

serialVersionUID - Static variable in class org.knowceans.dirichlet.lda.LdaGibbsQuerySampler

serialVersionUID - Static variable in class org.knowceans.dirichlet.lda.LdaGibbsSampler

serialVersionUID - Static variable in class org.knowceans.dirichlet.lda.LdaMarkovState

serialVersionUID - Static variable in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated.

serialVersionUID - Static variable in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerHyper

serialVersionUID - Static variable in class org.knowceans.sandbox.ilda.IldaGibbsSampler

setActorList(Vector<String>) - Method in class org.knowceans.corpus.AmqCorpus

setAlpha(double) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated.

setAuthorList(Vector<XptAuthor>) - Method in class org.knowceans.corpus.xpert.AuthorTermCorpus

setBeta(double) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated.

setCurrent(String) - Method in class net.sf.snowball.SnowballProgram

Set the current string.

setFonts(StringBuffer) - Method in class org.knowceans.corpus.parsers.nips.NipsXmlReader

sets the font sizes for the current page

setForQuery(boolean) - Method in class org.knowceans.dirichlet.lda.ExtLdaConfiguration

Reread the configuration for querying a given model and return this, so this setting can be appended to a constructor call.

setNdocs(int) - Method in class org.knowceans.corpus.TermCorpusOld

Deprecated.

setNterms(int) - Method in class org.knowceans.corpus.TermCorpusOld

Deprecated.

setNwords(int) - Method in class org.knowceans.corpus.TermCorpusOld

Deprecated.

setOutfile(String) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

setTheta(double[][]) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

Set the current value of theta.

setupDocs() - Method in class org.knowceans.corpus.LuceneMapCorpus

Creates document-terms maps.

setupIndex(boolean) - Method in class org.knowceans.corpus.LuceneCorpus

Creates term map and counts.

setXmlOutput(String) - Method in class org.knowceans.corpus.parsers.epg.EpgParser

setXmlOutput(String) - Method in class org.knowceans.corpus.parsers.TxtParser

shadeDouble(double, double) - Static method in class org.knowceans.dirichlet.lsam.LsamGibbsSampler

create a string representation whose gray value appears as an indicator of magnitude, cf.

shades - Static variable in class org.knowceans.corpus.util.CorpusIo

shades - Static variable in class org.knowceans.dirichlet.lsam.LsamGibbsSampler

showActorStats() - Method in class org.knowceans.corpus.analysis.AmqCorpusStatistics

showCorpusStats() - Method in class org.knowceans.corpus.analysis.CorpusStatistics

Show corpus statistics (Size of corpus, mean document size etc.)

showDocStats() - Method in class org.knowceans.corpus.analysis.CorpusStatistics

Show document statistics (Histogram of term frequencies per document)

showRelationStats() - Method in class org.knowceans.corpus.analysis.AmqCorpusStatistics

showTermStats() - Method in class org.knowceans.corpus.analysis.CorpusStatistics

sigma - Variable in class org.knowceans.arms.GaussArms.GmmParams

sigma - Variable in class org.knowceans.arms.GmmArms.GmmParams

sigmasqy - Variable in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

variance of the data

sigmasqy - Variable in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

variance of the data

SimpleDocument - Class in org.knowceans.corpus.parsers

SimpleDocument is the simplest implementation of the abstract class ADocument.

SimpleDocument() - Constructor for class org.knowceans.corpus.parsers.SimpleDocument

SimpleIgmmGibbsSampler - Class in org.knowceans.sandbox.gauss

SimpleIgmmGibbsSampler implements the infinite Gaussian mixture model as a Gibbs sampler.

SimpleIgmmGibbsSampler(double[]) - Constructor for class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

Initialise the Gibbs sampler with data.

SIZE - Static variable in class org.knowceans.sandbox.VectorSpeed

sj - Variable in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

inverse component variances (precisions)

slice_check() - Method in class net.sf.snowball.SnowballProgram

slice_del() - Method in class net.sf.snowball.SnowballProgram

slice_from(String) - Method in class net.sf.snowball.SnowballProgram

slice_from(StringBuffer) - Method in class net.sf.snowball.SnowballProgram

slice_to(StringBuffer) - Method in class net.sf.snowball.SnowballProgram

SnowballProgram - Class in net.sf.snowball

SnowballProgram() - Constructor for class net.sf.snowball.SnowballProgram

sort(double[], int, double) - Method in class org.knowceans.corpus.analysis.AtmTopicsConverter

sort the array in descending order.

source - Variable in class org.knowceans.corpus.parsers.igdbib.IgdDocument

source - Static variable in class org.knowceans.corpus.xpert.XpertMain

split(String) - Static method in class org.knowceans.corpus.util.ActorNames

splits the name in given name and last name, at the last space or at the comma if reversed

startElement(String, String, String, Attributes) - Method in class org.knowceans.corpus.parsers.dpa.DpaSaxParser

startElement(String, String, String, Attributes) - Method in class org.knowceans.corpus.parsers.dpa.DpaSaxParser2

opening tag callback for new DPA dataset (2000)

startElement(String, String, String, Attributes) - Method in class org.knowceans.corpus.parsers.igdbib.IgdSaxParser

startTimer(long) - Method in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerDpa

Deprecated. start timer from with an initial offset.

state - Variable in class org.knowceans.dirichlet.lda.LdaGibbsSampler

State variables of the Lda gibbs sampler.

state - Variable in class org.knowceans.dirichlet.sandbox.LdaGibbsSamplerHyper

stateq - Variable in class org.knowceans.dirichlet.lda.LdaGibbsQuerySampler

stateq contains the query documents.

stateSave - Variable in class org.knowceans.dirichlet.atm.AtmGibbsQuerySampler

stateSave contains the saved markov state (after initially loading the state.

stateSave - Variable in class org.knowceans.dirichlet.lda.LdaGibbsQuerySampler

stateSave contains the saved markov state (after initially loading the state.

stats(double[]) - Method in class org.knowceans.corpus.analysis.CorpusStatistics

statistics of a double vector

stem() - Method in class net.sf.snowball.ext.EnglishStemmer

stem() - Method in class net.sf.snowball.ext.GermanStemmer

stem() - Method in class net.sf.snowball.ext.LovinsStemmer

stem() - Method in class net.sf.snowball.ext.PorterStemmer

stem - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser

stem - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser2

stem - Variable in class org.knowceans.corpus.parsers.epg.EpgParser

stem - Static variable in class org.knowceans.corpus.parsers.igdbib.IgdSaxParser

stem - Variable in class org.knowceans.corpus.parsers.nips.NipsExtractor

stem - Variable in class org.knowceans.corpus.parsers.reuters.ReutersParser

stem - Variable in class org.knowceans.corpus.parsers.TxtParser

stem(String) - Method in class org.knowceans.corpus.util.EnStemmer

stem a single word

stem(String) - Method in class org.knowceans.corpus.util.Stemmer

stem a single word

stem - Static variable in class org.knowceans.corpus.xpert.XptDb2Corpus

stemmer - Variable in class org.knowceans.corpus.util.EnStemmer

Stemmer - Class in org.knowceans.corpus.util

German stemmer based on a Snowball algorithm.

Stemmer() - Constructor for class org.knowceans.corpus.util.Stemmer

create a new German stemmer

stemmer - Variable in class org.knowceans.corpus.util.Stemmer

StickBreakingProcess - Class in org.knowceans.dirichlet.sandbox

StickBreakingProcess implements Sethurahman's stick breaking process (SBP), which can be described as follows: A stick of length b is broken into two parts whose lengths are distributed according to a beta distribution b'_k ~ Beta(1, gamma) with a concentration parameter gamma.

StickBreakingProcess() - Constructor for class org.knowceans.dirichlet.sandbox.StickBreakingProcess

StickBreakingProcess - Class in org.knowceans.sandbox.hlda

StickBreakingProcess implements Sethurahman's stick breaking process (SBP), which can be described as follows: A stick of length b is broken into two parts whose lengths are distributed according to a beta distribution b'_k ~ Beta(1, gamma) with a concentration parameter gamma.

StickBreakingProcess() - Constructor for class org.knowceans.sandbox.hlda.StickBreakingProcess

stop - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser

stop - Variable in class org.knowceans.corpus.parsers.dpa.DpaSaxParser2

stop - Variable in class org.knowceans.corpus.parsers.epg.EpgParser

stop - Static variable in class org.knowceans.corpus.parsers.igdbib.IgdSaxParser

stop - Variable in class org.knowceans.corpus.parsers.nips.NipsExtractor

stop - Variable in class org.knowceans.corpus.parsers.reuters.ReutersParser

stop - Variable in class org.knowceans.corpus.parsers.TxtParser

stop(String) - Method in class org.knowceans.corpus.util.StopWordFilter

stop list containment

stop - Static variable in class org.knowceans.corpus.xpert.XptDb2Corpus

stoplist - Variable in class org.knowceans.corpus.util.StopWordFilter

StopWordFilter - Class in org.knowceans.corpus.util

StopWordFilter

StopWordFilter(String) - Constructor for class org.knowceans.corpus.util.StopWordFilter

sub - Variable in class org.knowceans.corpus.parsers.dpa.DpaDocument

_subtitle

sub - Variable in class org.knowceans.corpus.parsers.epg.EpgDocument

sub - Variable in class org.knowceans.corpus.parsers.reuters.ReutersDocument

subjects(String) - Method in interface org.knowceans.corpus.ICategories

get category ids (encoding) of the descriptors in the argument (space-separated).

subjects(String) - Method in class org.knowceans.corpus.NoCategories

subjects(String) - Method in class org.knowceans.corpus.parsers.dpa.DpaCategories

subjects(String) - Method in class org.knowceans.corpus.parsers.dpa.IptcCategories

subjects(String) - Method in class org.knowceans.corpus.parsers.epg.EpgCategories

subjects(String) - Method in class org.knowceans.corpus.parsers.igdbib.IgdCategories

subjects(String) - Method in class org.knowceans.corpus.parsers.reuters.ReutersCategories

substring_i - Variable in class net.sf.snowball.Among

suffstats - Variable in class org.knowceans.dirichlet.dmm.DmmGibbsSampler

Componentwise sufficient statistics for alpha * N. dim = components x data dimension.

sum(double[]) - Method in class org.knowceans.corpus.analysis.LdaAmqDistance

sum(double[]) - Method in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

sumPCatDoc - Variable in class org.knowceans.corpus.analysis.LdaAmqDistance

sumPCatDoc - Variable in class org.knowceans.corpus.analysis.VariationOfInformationAnalyser

sunrep - Variable in class org.knowceans.sandbox.gauss.IgmmGibbsSampler

precision of unrepresented components

sunrep - Variable in class org.knowceans.sandbox.gauss.SimpleIgmmGibbsSampler

precision of unrepresented components

swz - Variable in class org.knowceans.corpus.parsers.dpa.DpaDocument

<swz>keywords </swz>