A Review on Tumor Types and Data Mining Methods for Cluster Classification in Bio-Medical Domain

Emerging information about biological differences in tumors may different in outcomes for some people are different from others, uncertain incredible growth of tissue in living organs is difficult to identify types and vulnerability of tumor easily in high dimensional dataset. To perform effective and perfect diagnosis and treatment of cancer, identifying and classifying cancer types accurately is essential. This paper presents data mining algorithms and methods, to diagnosis tumor types by taking the features from the tumor classification on cancer data sets, and maximizes the associated data and minimizes the disassociation between the clusters; this survey provides a comprehensive overview for the classification of tumor.