@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}, }