An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering
نویسندگان
چکیده
منابع مشابه
An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering
For real-world clustering tasks, the input data is typically not easily separable due to the highly complex data structure or when clusters vary in size, density and shape. Kernel-based clustering has proven to be an effective approach to partition such data. In this paper, we provide an overview of several fuzzy kernel clustering algorithms. We focus on methods that optimize an fuzzy C-mean-ty...
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2013
ISSN: 1598-2645
DOI: 10.5391/ijfis.2013.13.4.254