Comparison of Data Mining Methods on Different Applications: Clustering and Classification Methods

Authors

Richard Merrell, Department of Computer Engineering, Yerevan University, Yerevan, ArmeniaFollow
David Diaz, Department of Computer Engineering, Yerevan University, Yerevan, ArmeniaFollow

Abstract

Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. In this review we study different type if clustering methods.

Recommended Citation

Merrell, Richard and Diaz, David (2015) "Comparison of Data Mining Methods on Different Applications: Clustering and Classification Methods," Information Sciences Letters: Vol. 4 : Iss. 2 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol4/iss2/2