Assessment of Microarray Data Clustering Results Based on a New Geometrical Index for Cluster Validity
A measurement of cluster quality is often needed for DNA microarray data analysis. In this paper, we introduce a new cluster validity index, which measures geometrical features of the data. The essential concept of this index is to evaluate the ratio between the squared total length of the data eige...
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| Published in: | Soft computing (Berlin, Germany) Vol. 11; no. 4; pp. 341 - 348 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Heidelberg
Springer Nature B.V
01.02.2007
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| Subjects: | |
| ISSN: | 1432-7643, 1433-7479 |
| Online Access: | Get full text |
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