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Databases are the rich source of hidden information which can be extracted for intelligent decision making. Classification is a process by which data is organized into different categories by determining a class for an element in database. Data is grouped into different classes based on the training dataset. The classification process helps analyze data and to build models that define data classes and predict future trends.

The availability of large amount of microarray data has created new scopes in classification methods. Like classification of DNA microarrays contributes significantly for diagnosis and prognosis in many clinical practices [15].

Also the classification of gene expression data addresses the fundamental problem of many diseases. Classification of tumor types has been achieving a great success in cancer diagnosis and precision drug development. However, earlier cancer classification studies were clinical based and they have inadequate analytical expertise. Today thousands of gene expressions data is simultaneously monitored because of the advancement in classification algorithms.