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Similarity measureKernel density estimationLinear discriminant analysisKernel embedding of distributionsScoring algorithmCovariance functionFisher's methodQuadratic classifierDirichlet kernelPolynomial kernelKernel perceptronFisher information metricF-distributionFisher consistencyKernel regressionIris flower data setEmpirical orthogonal functionsLikelihood functionProbability distribution fittingIntraclass correlationLinear predictor functionKernel smootherHellinger distancePoisson kernelCorrelation ratioLinear regressionJaccard indexMarkov kernelKrigingStatistical modelLinear classifierProbabilistic classificationParametric statisticsDistance correlationProbability distributionProjection matrixCluster analysisOverlap coefficientFisher informationStatistical distanceBinary regressionRadial basis function kernelProbability mass functionRecursive bayesian estimationLog-logistic distributionMultinomial testEmpirical distribution functionBinomial testF-scoreProbability measurePoisson regressionGeneralized additive modelK-means clusteringSymbolic regressionRegression analysisOne-way analysis of varianceRand indexRadial distribution functionLinear interpolationCanonical correlationCorrelation functionNonlinear regressionDelta methodNormal distributionPolychoric correlationAnalysis of varianceFredholm integral equationSpectral clusteringMultiple correspondence analysisResidual sum of squaresReproducing kernel hilbert spaceExplained sum of squaresQuartile coefficient of dispersionCorrelationInterpolationGeneralized least squaresPhi coefficientTversky indexString metricResponse surface methodologyRatio distributionDesign matrixGaussian measurePearson correlation coefficientParametric modelMultinomial logistic regressionMaximum likelihood estimationLikelihood-ratio testExponential dispersion modelMultinomial probitDivergenceStatistical classificationStatistical shape analysisMatrix normal distributionScale parameterEffect sizeHierarchical clusteringNormality testSampling distributionExplained variation