Fuzzy c-means clustering of incomplete data
The problem of clustering a real s-dimensional data set X={x(1 ),,,,,x(n)} subset R(s) is considered. Usually, each observation (or datum) consists of numerical values for all s features (such as height, length, etc.), but sometimes data sets can contain vectors that are missing one or more of the f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 31(2001), 5 vom: 15., Seite 735-44
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| 1. Verfasser: |
Hathaway, R J
(VerfasserIn) |
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| Weitere Verfasser: |
Bezdek, J C |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2001
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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