A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability
Seyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi
Topics & Concepts
InitializationInterpretabilityPrincipal component analysisComputer scienceCluster analysisPattern recognition (psychology)Dimensionality reductionReduction (mathematics)Dimension (graph theory)k-means clusteringReciprocalAlgorithmSilhouetteArtificial intelligenceData miningMathematicsPure mathematicsPhilosophyLinguisticsProgramming languageGeometryAdvanced Clustering Algorithms ResearchData Stream Mining TechniquesFace and Expression Recognition