Data Management

Process of Extracting Uncover Patterns from Data: A Review

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Executive Summary

Extracting required patterns from huge amount of mixed data is an area of interest to the researchers. Various promising and already established algorithms are currently using in the name of Data Clustering. Clustering is used for partitioning the data into number of data sets or group. In this paper, the authors review four popular clustering algorithms from data mining perspective. Fast retrieval of the relevant information from the databases has been a significant issue. Different techniques have been developed for this purpose; one of them is Data Clustering. Data clustering is a method in which they make cluster of objects that are somehow similar in characteristics. The criterion for checking the similarity is implementation dependent.

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