Comparative Analysis of k-means and Enhanced K-means clustering algorithm for data mining
نویسندگان
چکیده
IJSER © 2012 http://www.ijser.org Comparative Analysis of k-means and Enhanced K-means clustering algorithm for data mining Neha Aggarwal,Kirti Aggarwal, Kanika gupta ABSTRACT-K-Means Clustering is an immensely popular clustering algorithm for data mining which partitions data into different clusters on the basis of similarity between the data points and aims at maximizing the intra-class similarity and minimizing the inter-class similarity. This Algorithm suffers from the limitation of being time consuming and producing different results with different centroids chosen randomly. The first limitation is solved using the Enhanced K-Means algorithm. This paper shows the comparison of Basic K-Means and Enhanced K-Means algorithm which shows that Enhanced KMeans is more efficient than Basic K-Means Algorithm.
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