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https://scholarbank.nus.edu.sg/handle/10635/80865
Title: | On post-clustering evaluation and modification | Authors: | Ong, S.H. Zhao, X. |
Keywords: | Cluster validity Clustering Density Fuzzy c-means algorithm Image segmentation |
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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