@article{(Open Science Index):https://publications.waset.org/pdf/4776,
	  title     = {Fuzzy Types Clustering for Microarray Data },
	  author    = {Seo Young Kim and  Tai Myong Choi},
	  country	= {},
	  institution	= {},
	  abstract     = {The main goal of microarray experiments is to quantify the expression of every object on a slide as precisely as possible, with a further goal of clustering the objects. Recently, many studies have discussed clustering issues involving similar patterns of gene expression. This paper presents an application of fuzzy-type methods for clustering DNA microarray data that can be applied to typical comparisons. Clustering and analyses were performed on microarray and simulated data. The results show that fuzzy-possibility c-means clustering substantially improves the findings obtained by others. },
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {229 - 232},
	  ee        = {https://publications.waset.org/pdf/4776},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},
	}