Title :
Comments on "A possibilistic approach to clustering"
Author :
Barni, M. ; Cappellini, V. ; Mecocci, A.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Abstract :
In this comment, we report a difficulty with the-application of the possibilistic approach to fuzzy clustering (PCM) proposed by Keller and Krishnapuram (1993). In applying this algorithm we found that it has the undesirable tendency to produce coincidental clusters. Results illustrating this tendency are reported and a possible explanation for the PCM behavior is suggested.
Keywords :
fuzzy set theory; iterative methods; pattern classification; possibility theory; coincidental clusters; fuzzy clustering; iterative process; pattern classification; possibilistic C-means; Clustering algorithms; Partitioning algorithms; Phase change materials; Pixel; Possibility theory; Prototypes; Satellites; Testing; Urban areas;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
