Analysis and Comparison of Efficient Techniques of Clustering Algorithms in Data Mining

This paper presents the comparison of data mining algorithms for clustering. These algorithms are among the most influential data mining algorithms in the research community. With each algorithm, the authors provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.

Provided by: International Journal of Innovative Technology and Exploring Engineering (IJITEE) Topic: Data Management Date Added: Aug 2012 Format: PDF

Find By Topic