A Survey on Clustering Techniques in Medical Diagnosis

Due to recent technology advances, large masses of medical data are obtained. These large data contain valuable information for diagnosing diseases. Data mining techniques can be used to extract useful patterns from these mass data. It provides a useroriented approach to the novel and hidden patterns in the data. One of the major challenges in medical domain is the extraction of comprehensible knowledge from medical diagnosis data. Healthcare system becomes very important to develop an automated tool that is capable of identifying and disseminating relevant healthcare information. This paper intends to provide the survey of various clustering techniques used in medical field. The purpose of this survey is to improve the design of clustering methods for further enhancement KeywordsMedical data mining, Hierarchical, Partitioning, Density Based, K-NN Nearest neighbor clustering techniques.

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