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DIMK-means" Distance-based Initialization Method for K-means Clustering Algorithm"
(Modern Education and Computer Science Press, 2013)
Partition-based clustering technique is one of several clustering techniques that attempt to directly decompose the dataset into a set of disjoint clusters. K-means algorithm dependence on partition-based clustering technique ...
Avoiding objects with few neighbors in the K-Means process and adding ROCK Links to its distance
(International Journal of Computer Applications, 244 5 th Avenue,# 1526, New York, NY 10001, USA India, 2011)
K-means is considered as one of the most common and powerful algorithms in data clustering, in this paper we're going to present new techniques to solve two problems in the K-means traditional clustering algorithm, the 1st ...