Examples of edu.ucla.sspace.similarity.KLDivergence

edu.ucla.sspace.similarity.KLDivergence
Returns the KL Divergence between any two probability distributions represented as {@link Vector}s.
This metric is not symmetric. Use the Jensen-Shannon Divergence for a symmetric similarity measure between two probability distributions @author Keith Stevens

            case AVERAGE_COMMON_FEATURE_RANK:
                return new AverageCommonFeatureRank();
            case LIN:
                return new LinSimilarity();
            case KL_DIVERGENCE:
                return new KLDivergence();
            case KENDALLS_TAU:
                return new KendallsTau();
            case TANIMOTO_COEFFICIENT:
                return new TanimotoCoefficient();
        }

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Related Classes of edu.ucla.sspace.similarity.KLDivergence

edu.ucla.sspace.common.Similarity

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