Uses of Class
gr.demokritos.iit.conceptualIndex.structs.Distribution

Packages that use Distribution
gr.demokritos.iit.conceptualIndex.events   
gr.demokritos.iit.conceptualIndex.structs   
gr.demokritos.iit.jinsect.algorithms.estimators   
gr.demokritos.iit.jinsect.algorithms.statistics   
gr.demokritos.iit.jinsect.casc.console   
gr.demokritos.iit.jinsect.structs   
probabilisticmodels   
 

Uses of Distribution in gr.demokritos.iit.conceptualIndex.events
 

Methods in gr.demokritos.iit.conceptualIndex.events with parameters of type Distribution
 double IDistributionComparisonListener.compareDistributions(Distribution d1, Distribution d2)
           
 double IDistributionComparisonListener.compareDistributions(Distribution d1, Distribution d2)
           
 

Uses of Distribution in gr.demokritos.iit.conceptualIndex.structs
 

Methods in gr.demokritos.iit.conceptualIndex.structs that return Distribution
 Distribution Distribution.addTo(Distribution dOther)
          Creates a new distribution containing the sum of values of the given distribution and a second distribution.
 Distribution DistributionGraph.getEdgeDistro(salvo.jesus.graph.Edge e)
          Returns the distribution mapped to a selected edge.
 Distribution Distribution.getProbabilityDistribution()
          Creates a new probability distribution, corresponding to the occurences of the features appearing in this distribution.
 

Methods in gr.demokritos.iit.conceptualIndex.structs with parameters of type Distribution
 Distribution Distribution.addTo(Distribution dOther)
          Creates a new distribution containing the sum of values of the given distribution and a second distribution.
 double Distribution.calcSumSquaredErrorFrom(Distribution dOther)
           
 double Distribution.compareDistributions(Distribution d1, Distribution d2)
          Use default comparison between d1 and d2.
 double Distribution.compareDistributions(Distribution d1, Distribution d2)
          Use default comparison between d1 and d2.
 void DistributionGraph.setEdgeDistro(salvo.jesus.graph.Edge e, Distribution d)
          Maps an edge to a distribution.
 double Distribution.similarityTo(Distribution dOther)
          Calculates the degree of similarity between two distributions.
 

Uses of Distribution in gr.demokritos.iit.jinsect.algorithms.estimators
 

Fields in gr.demokritos.iit.jinsect.algorithms.estimators declared as Distribution
protected  Distribution DistanceEstimator.NonSymbolsPerRank
           
protected  Distribution NGramSizeEstimator.NonSymbolsPerRank
          The distribution of non-symbols per n-gram rank.
protected  Distribution DistanceEstimator.SymbolsPerRank
           
protected  Distribution NGramSizeEstimator.SymbolsPerRank
          The distribution of symbols per n-gram rank.
 

Constructors in gr.demokritos.iit.jinsect.algorithms.estimators with parameters of type Distribution
DistanceEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank)
          Creates a new instance of DistanceEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
DistanceEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank)
          Creates a new instance of DistanceEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
DistanceEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank, NGramSizeEstimator nseEstimator)
          Creates a new instance of DistanceEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
DistanceEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank, NGramSizeEstimator nseEstimator)
          Creates a new instance of DistanceEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
NGramSizeEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank)
          Creates a new instance of NGramSizeEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
NGramSizeEstimator(Distribution tmSymbolsPerRank, Distribution tmNonSymbolsPerRank)
          Creates a new instance of NGramSizeEstimator, given two distribution of symbols and non-symbols, by getting a copy of the distributions.
 

Uses of Distribution in gr.demokritos.iit.jinsect.algorithms.statistics
 

Methods in gr.demokritos.iit.jinsect.algorithms.statistics with parameters of type Distribution
static double statisticalCalculation.entropy(Distribution dDist)
          Calculates the entropy given a Distribution.
static double KLDivergenceCalculator.KL_asymmetric(Distribution p, Distribution q)
          The static method where the computation of KL_asymmetric is performed.
static double KLDivergenceCalculator.KL_asymmetric(Distribution p, Distribution q)
          The static method where the computation of KL_asymmetric is performed.
static double KLDivergenceCalculator.KL_symmetric(Distribution p, Distribution q)
          The static method where the computation of symmetric KL is performed.
static double KLDivergenceCalculator.KL_symmetric(Distribution p, Distribution q)
          The static method where the computation of symmetric KL is performed.
 

Uses of Distribution in gr.demokritos.iit.jinsect.casc.console
 

Methods in gr.demokritos.iit.jinsect.casc.console with parameters of type Distribution
static double casc.euclideanDistance(Distribution p, Distribution q)
           
static double casc.euclideanDistance(Distribution p, Distribution q)
           
static double casc.manhattanDistance(Distribution p, Distribution q)
           
static double casc.manhattanDistance(Distribution p, Distribution q)
           
static double casc.MPDDistance(Distribution p, Distribution q)
           
static double casc.MPDDistance(Distribution p, Distribution q)
           
 

Uses of Distribution in gr.demokritos.iit.jinsect.structs
 

Methods in gr.demokritos.iit.jinsect.structs that return Distribution
 Distribution VectorSet.centroid()
          Calculates the centroid of all distributions contained.
 

Uses of Distribution in probabilisticmodels
 

Methods in probabilisticmodels that return Distribution
 Distribution HierLDAGibbs.calcTopicProbsUnderSuperTopic(int iTopicsLevel, int iSuperTopicIndex)
           
 Distribution HierLDAGibbs.getTopicTermDistro(int iLevel, int iTopicNumber)