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A Survey on Clustering Analysis

C. Mythili, Dr.V. Kavitha


Cluster analysis is a collection of statistical methods, which identifies group of samples that react similarly or show similar characteristics. The simplest mechanism is to partition the samples using measurements that capture similarity or distance between samples. In this way, clusters and groups are interchangeable words. Often in research studies, cluster analysis is also referred as segmentation method. In neural network concepts, clustering method is called as unsupervised learning. Clustering is the subject of active research in several fields such as statistics, pattern recognition, and machine learning. This paper deals with the survey of cluster analysis.


Clustering, Clustering Procedure, Distance and Similarity Measure, Clustering Algorithms.

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