A Hybrid Clustering Algorithm for Data Mining
Ravindra K. Jain · 2012
Data clustering is a process of arranging similar data into groups.A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups.In this paper a hybrid clustering algorithm based on K-mean and K-harmonic mean (KHM) is described.The proposed algorithm is tested on five different datasets.The research is focused on fast and accurate clustering.Its performance is compared with the traditional K-means & KHM algorithm.The result obtained from proposed hybrid algorithm is much better than the traditional K-mean & KHM algorithm.