A sparse fuzzy c-means algorithm based on sparse clustering framework

Author:

Qiu Xianen,Qiu Yanyi,Feng Guocan,Li Peixing

Funder

Science and Technology Planning Project of Guangdong Province

Guangdong Provincial Government of China

Computational Science Innovative Research Team

Guangdong Provincial Key Laboratory of Computational Science at the Sun Yat-sen University”. “973 Program

Open Project Program of the State Key Lab of Environmental Adaptability for Industrial Products

China Electric Apparatus Research Institute Co., Ltd

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference14 articles.

1. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

2. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters;Dunn;Cybern. Syst.,1973

3. Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering;Staiano;Neurocomputing,2006

4. Median fuzzy c-means for clustering dissimilarity data;Geweniger;Neurocomputing,2010

5. An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification;Xing;Neurocomputing,2008

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