Performance Analysis of Hybrid Approach of Clustering Algorithms

Provided by: International Journal of Computer Science and Information Technologies
Topic: Data Management
Format: PDF
Clustering is a way that classifies the raw data reasonably and searches the hidden patterns that may exist in datasets. It is a process of grouping data objects into disjoint clusters so that data in the same cluster are similar, and data belonging to different cluster are differ. Many algorithms have been developed for clustering. In this paper, the authors are reviewing performance analysis of hybrid approach of different clustering algorithms like K-means, HAC, SOM.

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