Litcius/Paper detail

Semi-supervised and un-supervised clustering: A review and experimental evaluation

Kamal Taha

2023Information Systems84 citationsDOI

Topics & Concepts

Cluster analysisComputer scienceArtificial intelligenceConceptual clusteringMachine learningSupervised learningSemi-supervised learningCategorizationUnsupervised learningCorrelation clusteringCanopy clustering algorithmSet (abstract data type)Data miningArtificial neural networkProgramming languageAdvanced Clustering Algorithms ResearchText and Document Classification TechnologiesData Stream Mining Techniques
Semi-supervised and un-supervised clustering: A review and experimental evaluation | Litcius