A survey and analysis based on topic based classification

In this paper a survey and analysis based on topic based data classification has been presented. It includes the topic based data orientation, data categorization, document clustering, etc. This study provides the analytical way to analyze the methods previously published and provide explorative way of the approaches presented. It also provides the discussion based on the attributes and property used and explored. This study provides the discussion of different partitioning algorithm, different grouping methods and classification approaches. Based on the study, future enhancements have been suggested.