A Literature Study on Traditional Clustering Algorithms for Uncertain Data
S. Sathappan, S. Sridhar & D. C. Tomar · Journal of Advances in Mathematics and Computer Science · 2017
Numerous traditional Clustering algorithms for uncertain data have been proposed in the literature such as k-medoid, global kernel k-means, k-mode, u-rule, uk-means algorithm, Uncertainty-Lineage database, Fuzzy c-means algorithm. In 2003, the traditional partitioning clustering...
Open access
Research Article
10.9734/BJMCS/2017/32697