Data Management

Performance Enhancement of K-Means Clustering Algorithms for High Dimensional Data sets

Download Now Date Added: Jan 2014
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Data mining has been defined as \"The nontrivial extraction of implicit, previously unknown, and potentially useful information from data\". Clustering is the automated search for group of related observations in a data set. The K-means method is one of the most commonly used clustering techniques for a variety of applications. This paper proposes a method for making the K-means algorithm more effective and efficient; so as to get better clustering with reduced complexity. In this paper, the most delegate algorithms K-means and enhanced K-means were examined and analyzed based on their basic approach.