Multidimensional Clustering Methods of Data Mining for Industrial Applications

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Provided by: International Journal of Engineering and Science Invention (IJESI)
Topic: Data Management
Format: PDF
Clustering is the unsupervised classification of patterns (observations, data items or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities have made the transfer of useful generic concepts and methodologies slow to occur.
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