Immense Review on Clustering Approaches

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Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
Clustering is process for finding similarity groups in data. It is considered as unsupervised learning task. The motive of clustering is detecting groups of similar objects by separating dissimilar ones. Clustering plays wide role in data mining. Old versions of clustering methods compute a division of the data, grouping each object in at most one cluster or detecting it as noise. However, it is not always necessary that an object must belongs to only one cluster. It means that multiple meaningful groupings might exist for each object. In today's any applications, high dimensional databases are used.
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