The possibilistic C-means (PCM) clustering algorithm is shown to be superior to the conventional fuzzy C-means (FCM) clustering algorithms. We attack several unsolved issues in applying the possibilistic approach to fuzzy clustering. An initial independent and highly noise resistant possibilistic clustering algorithm, named the novel possibilistic C-means (NPCM) clustering algorithm, is developed.<>
An initial independent and highly noise-resistant fuzzy possibilistic clustering algorithm
1994-01-01
320891 byte
Conference paper
Electronic Resource
English
An Initial Independent and Highly Noise-Resistant Fuzzy Possibilistic Clustering Algorithm
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