Canonical PSO Based K-Means Clustering Approach for Real Datasets
نویسندگان
چکیده
منابع مشابه
Canonical PSO Based K-Means Clustering Approach for Real Datasets
"Clustering" the significance and application of this technique is spread over various fields. Clustering is an unsupervised process in data mining, that is why the proper evaluation of the results and measuring the compactness and separability of the clusters are important issues. The procedure of evaluating the results of a clustering algorithm is known as cluster validity measure. Different ...
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Thaddeus Tarpey and Eva Petkova 1 Department Mathematics and Statistics, Wright State University, Dayton, Ohio 45435, [email protected]. 2 Department of Child and Adolescent Psychiatry, New York University, New York, NY 10016-6023 Abstract Cluster analysis is a powerful tool for discovering sources of heterogeneity in data. However, clinically interesting sources of heterogeneity, such...
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ژورنال
عنوان ژورنال: International Scholarly Research Notices
سال: 2014
ISSN: 2356-7872
DOI: 10.1155/2014/414013