Clustering is one of the important data mining methods for discovering knowledge in multidimensional data. The goal of clustering is to identify patterns or groups of similar objects within a data set of interest.
Cluster analysis is popular in many fields, including:
a. In cancer research for classifying patients into subgroups according to their gene expression profile. This can be useful for identifying the molecular profile of patients with good or bad prognostic, as well as for understanding the disease.
b. In marketing for market segmentation by identifying subgroups of customers with similar profiles and who might be receptive to a particular form of advertising.
c. In City-planning for identifying groups of houses according to their type, value, and location
..... etc.
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