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.<>


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    Title :

    An initial independent and highly noise-resistant fuzzy possibilistic clustering algorithm


    Contributors:
    Xinhua Zhuang (author) / Yunxin Zhao (author) / Yan Huang (author) / Tong Huang (author)


    Publication date :

    1994-01-01


    Size :

    320891 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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