Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/80865
DC Field | Value | |
---|---|---|
dc.title | On post-clustering evaluation and modification | |
dc.contributor.author | Ong, S.H. | |
dc.contributor.author | Zhao, X. | |
dc.date.accessioned | 2014-10-07T03:02:09Z | |
dc.date.available | 2014-10-07T03:02:09Z | |
dc.date.issued | 2000-05 | |
dc.identifier.citation | Ong, S.H.,Zhao, X. (2000-05). On post-clustering evaluation and modification. Pattern Recognition Letters 21 (5) : 365-373. ScholarBank@NUS Repository. | |
dc.identifier.issn | 01678655 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/80865 | |
dc.description.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. | |
dc.source | Scopus | |
dc.subject | Cluster validity | |
dc.subject | Clustering | |
dc.subject | Density | |
dc.subject | Fuzzy c-means algorithm | |
dc.subject | Image segmentation | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL ENGINEERING | |
dc.description.sourcetitle | Pattern Recognition Letters | |
dc.description.volume | 21 | |
dc.description.issue | 5 | |
dc.description.page | 365-373 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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