An Efficient Concept-Based Mining Model for Analysis Partitioning Clustering

Provided by: International Journal of Recent Technology and Engineering (IJRTE)
Topic: Data Management
Format: PDF
Data clustering is an important task in the area of data mining. Clustering is the unsupervised classification of data items into homogeneous groups called clusters. Clustering methods partition a set of data items into clusters, such that items in the same cluster are more similar to each other than items in different clusters according to some defined criteria. Clustering algorithms are computationally intensive, particularly when they are used to analyze large amounts of data. With the development of information technology and computer science, high-capacity data appear in their lives.

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