- Category:
- File Formats
- Tags:
-
[PDF]
- File Size:
- 3.31mb
- Update:
- 2013-06-01
- Downloads:
- 0 Times
- Uploaded by:
- m
Description: This paper presents a new cluster validity index for nding a suitable number of
fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains
exponential compactness and separation measures. These measures indicate homogeneity
within clusters and heterogeneity between clusters, respectively. Moreover, a fuzzy c-mean
algorithm is used for fuzzy clustering with crisp data, and a fuzzy k-numbers clustering is
used for clustering with fuzzy data. In comparison to other indices, it is evident that the proposed index is more e ffective and robust under
di fferent conditions of data sets, such as noisy environments and large data sets.
To Search:
File list (Check if you may need any files):
9552010E202.pdf
Download