WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/16400,
	  title     = {Sample-Weighted Fuzzy Clustering with Regularizations},
	  author    = {Miin-Shen Yang and  Yee-Shan Pan},
	  country	= {},
	  institution	= {},
	  abstract     = {Although there have been many researches in cluster
analysis to consider on feature weights, little effort is made on sample
weights. Recently, Yu et al. (2011) considered a probability
distribution over a data set to represent its sample weights and then
proposed sample-weighted clustering algorithms. In this paper, we
give a sample-weighted version of generalized fuzzy clustering
regularization (GFCR), called the sample-weighted GFCR
(SW-GFCR). Some experiments are considered. These experimental
results and comparisons demonstrate that the proposed SW-GFCR is
more effective than the most clustering algorithms.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {7},
	  year      = {2013},
	  pages     = {966 - 969},
	  ee        = {https://publications.waset.org/pdf/16400},
	  url   	= {https://publications.waset.org/vol/79},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 79, 2013},
	}