Refining Initial Points for K-Means Clustering

This article describes how data is relevant and if it can be organized, linked with other data and grouped into a cluster. Clustering is the process of organizing a given set of objects into a set of disjoint groups called clusters. There are a number ...

In this paper, we present a hybrid clustering algorithm that combines divisive and agglomerative hierarchical clustering algorithm. Our method uses bisect K-means for divisive clustering algorithm and Unweighted Pair Group Method with Arithmetic Mean (...

In data mining, clustering is a method of grouping similar points together. This grouping can be done using partitioning or hierarchical clustering algorithms. K-means is one of the partitioning clustering algorithms which is simple and faster than ...