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Statistical classificationProbabilistic classificationSequence labelingMulticlass classificationFeature learningOne-class classificationCluster analysisFeatureSystem identificationMargin classifierMulti-label classificationStructured predictionClassificationQuadratic classifierHierarchical clusteringSimilarity measureFeature selectionDiagnosisPredictive analyticsSupervised learningPrecision and recallPlatt scalingLatent class modelTaxonomyFeature engineeringProbabilistic neural networkGroup testingCombinatorial optimizationStatistical learning theoryNonlinear system identificationDiscriminative modelAffinity analysisOutline of statisticsStatistical shape analysisNearest centroid classifierBayes classifierLarge margin nearest neighborLinear discriminant analysisDecision tree learningAssociation rule learningData collectionGrouped dataFeature extractionConfusion matrixMultinomial logistic regressionLabel propagation algorithmMathematical statisticsNeighbourhood components analysisData analysisStatistical modelGradient boostingStatistical inferenceBinary regressionHistogram of oriented gradientsModel selectionSample complexitySymbolic regressionIntraclass correlationExploratory data analysisMarginLinear predictor functionFormal concept analysisFunctional data analysisApproximate bayesian computationParametric statisticsStatisticsConditional random fieldManifold regularizationItem analysisBlob detectionComputational biologyLinguistic typologyAnalysis of varianceRange searchingEmpirical orthogonal functionsFisher kernelProbability distributionGenerative modelMultiple correspondence analysisScientific modellingTopic modelRegression analysisLinear regressionPattern recognitionTypes of social groupsLearning analyticsProbability distribution fittingGraph neural networkSurvey samplingHierarchical dirichlet processLatent dirichlet allocationRadiomicsStatistical graphicsGrammar inductionExploratory factor analysisLog-linear analysisEvaluation of binary classifiersMixture modelData generating processConformal prediction