A HYBRID APPROACH FOR DATA CLUSTERING USING DATA MINING TECHNIQUES?Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 11)
Publication Date: 2014-11-30
Authors : K.PRABHA; K.RAJESWARI;
Page : 81-88
Keywords : Data clustering; K-means; Data mining; Hybrid algorithm;
Data clustering is a process of arranging similar data into groups. Data clustering is a common technique for data analysis and is used in many fields, including data mining, pattern recognition and image analysis. In this paper a hybrid clustering algorithm based on K-mean is described. K-means clustering is a common and simple approach for data clustering but this method has some limitation such as local optimal convergence and initial point sensibility. The algorithm then extended to use k-means clustering to refined centroids and clusters. The experimental results showed the accuracy and capability of proposed algorithm to data clustering.
Other Latest Articles
Last modified: 2014-11-11 23:53:16