Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data

Tengke Xiong; Shengrui Wang; André Mayers; Ernest Monga

doi:10.1007/978-3-642-20841-6_22

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Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data

Tengke Xiong Shengrui Wang André Mayers Ernest Monga

Year: 2011 Lecture notes in computer science Pages: 265-276 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-20841-6_22

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Keywords:

Cluster analysis Computer science Categorical variable Hierarchical clustering Artificial intelligence Canopy clustering algorithm CURE data clustering algorithm Data mining Single-linkage clustering Correlation clustering Constrained clustering Pattern recognition (psychology) Data stream clustering Constraint (computer-aided design) Dendrogram Machine learning Mathematics

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data

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