Review of Clustering Algorithm for Categorical Data

Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Data Management
Format: PDF
Clustering is a partition of data into a group of similar or dissimilar data points and each group is a set of data points called clusters. Clustering is an unsupervised learning with no predefined class label for the data points. Clustering is considered an important tool for data mining. Clustering has many applications such as pattern recognition, image processing, market analysis, World Wide Web (WWW) and many others. Categorical data are groups of categories and each value represents some category.

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