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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anderson, D.T. Keller, J.M. Sjahputera, O. Bezdek, J.C. Popescu, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Health Management and Informatics, University of Missouri, Columbia, MO, USA (Popescu, M.) || Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA (Anderson, D.T.; Keller, J.M.; Sjahputera, O.; Bezdek, J.C.) |
| Abstract | Previously, we presented a method for comparing soft partitions (i.e. crisp, probabilistic, fuzzy and possibilistic) to a known crisp reference partition. Many of the classical indices that have been used with outputs of crisp clustering algorithms were generalized so that they are applicable for candidate partitions of any type. In particular, focus was placed on generalizations of the Rand index. In this article, we extend our prior work by (1) investigating the behavior of the soft Rand for comparing non-crisp, specifically possibilistic, partitions and (2) we demonstrate how the possibilistic Rand and visual assessment of (cluster) tendency (VAT) algorithm can be used to discover the number of actual clusters and coincident clusters for outputs from the possibilistic c-means (PCM) algorithm. |
| Starting Page | 924 |
| Ending Page | 931 |
| File Size | 1632647 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007474 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Phase change materials Partitioning algorithms Indexes Visualization Equations Probabilistic logic cluster correspondence cluster validity possibilistic Rand index comparing soft partitions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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