Journal of Pure and Applied MicrobiologyVol. 9 No. 2

Classification of Breast Cancer Cells using Novel DPSC Algorithm

S. Gowri1, G.S. Anandha Mala2 and G. Mathivanan3

1Department of Information Technology, Sathyabama University, Chennai- 600119, India. 2Department of Computer Science Engineering, Easwari Engineering College, Chennai-600089, India. 3Dept of Information Technology, Sathyabama University, Chennai- 600119, India.

Received on 10 April 2015 and accepted on 12 May 2015



Cells are basically in the count of millions and trillions. On examination of any kind of disease, samples of blood are collected initially from the patients and are sent to test. During the test, the data is monitored and noted continuously, especially for diseases like cancer the cells which are been classified or distinguished based on their dimensions, mass, etc, were physical appearance matter as a significant feature for the classification. For the evaluation of our proposed algorithm and the existing clustering algorithm, we utilize this data of the breast cancer. The most dominant concept in the domain of Data mining is the Clustering technique, which has become the most significant entail in the formulation of structure to data. The complication of data reading from a substantially large data of any sector in the ongoing circumstances has become the fundamental entity. The main base of this clustering technique is its proficiently structured classification. Taking the factor of structure based classification of data into consideration, this paper presents the novelty in the process of clustering, which is not derived from any traditional techniques in clustering and rather it is idealized using the concept of the most popular search engine, the Google?s search engine. Google uses their Crawler technique to collect data on net and index it into its storage space. Using this crawler a clustering technique was formulated for the purpose algorithm.

Keywords : Breast Cancer, Classification; Google?s Crawler; Data Mining.