Analysis of Various Clustering Algorithms

Clustering is a division of data into groups of similar objects. Each group, called a cluster, consists of objects that are similar between them-selves and dissimilar compared to objects of other groups. Cluster analysis is a very important technology in Data Mining. It divides the datasets into several meaningful clusters to reflect the data sets' natural structure. Cluster is aggregation of data objects with common characteristics based on the measurement of some kind of information. There are several commonly used clustering algorithms, such as K-means, Density based and Hierarchical and so on.

Provided by: International Journal of Innovative Technology and Exploring Engineering (IJITEE) Topic: Data Management Date Added: Jun 2013 Format: PDF

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