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|Title:||On post-clustering evaluation and modification||Authors:||Ong, S.H.
Fuzzy c-means algorithm
|Issue Date:||May-2000||Citation:||Ong, S.H.,Zhao, X. (2000-05). On post-clustering evaluation and modification. Pattern Recognition Letters 21 (5) : 365-373. ScholarBank@NUS Repository.||Abstract:||Unsupervised clustering algorithms sometimes do not lead to meaningful interpretations of the structure in the data. We propose a new approach in which the concept of cluster density is introduced to assess the quality of an algorithmically generated partition and accordingly guide an amelioration process through split-and-merge operations.||Source Title:||Pattern Recognition Letters||URI:||http://scholarbank.nus.edu.sg/handle/10635/80865||ISSN:||01678655|
|Appears in Collections:||Staff Publications|
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