Statistical approach to clustering in pattern recognition

Proceedings of the Annual Southeastern Symposium on System Theory

Volumn 2001-January, Issue , 2001, Pages 117-181

  Zeng, Yujing ^a   Starzyk, J ^a  

^a OHIO UNIVERSITY   (United States)

Author keywords

Clustering algorithms; Data analysis; Data structures; Merging; Nearest neighbor searches; Optimization methods; Pattern recognition; Probability distribution; Simulated annealing; Unsupervised learning

Indexed keywords

BENCHMARKING; CLUSTERING ALGORITHMS; COMPUTER AIDED INSTRUCTION; DATA REDUCTION; DATA STRUCTURES; LEARNING SYSTEMS; MERGING; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS; SIMULATED ANNEALING; SYSTEM THEORY; UNSUPERVISED LEARNING;

BENCHMARK DATA; CLUSTER NUMBERS; DATA POINTS; LOCAL DISTRIBUTIONS; OPTIMIZATION METHOD; PARAMETRIC APPROACH; REAL APPLICATIONS; STATISTICAL APPROACH;

K-MEANS CLUSTERING;

EID: 84949937406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSST.2001.918513     Document Type: Conference Paper

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