Performance Evaluation of K-Means and Heirarichal Clustering in Terms of Accuracy and Running Time

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
As in today's world large number of modern techniques is evolving for scientific data collection, large number of data is getting accumulated at various databases. Systematic data analysis methods are in need to gain/extract useful information from rapidly growing databanks. Clustering analysis method is one of the main analytical methods in data mining; in which k-means clustering algorithm is most popularly/widely used for many applications. Clustering algorithm is divided into two categories: partition and hierarchical clustering algorithm.

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