Improving classification Accuracy of Neural Network through Clustering Algorithms

International Journal of Computer Trends and Technology (IJCTT)          
© - September Issue 2013 by IJCTT Journal
Volume-4 Issue-9                           
Year of Publication : 2013
Authors :B.Madasamy, Dr.J.Jebamalar Tamilselvi


B.Madasamy, Dr.J.Jebamalar Tamilselvi"Improving classification Accuracy of Neural Network through Clustering Algorithms "International Journal of Computer Trends and Technology (IJCTT),V4(9):3242-3246 September Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract:- A common problem in bio medical data using neural networks for classification purposes are complex nature of the data, high dimensionality, convoluted and overlapping classes with their remarkable ability to derive meaning from complicated data, can be extract patterns and trends are too complex. Bio medical classification is a complex process to make decisions. Classification performance of the neural network suffers dramatically. This paper proposes neural network and data mining techniques are combined to automate biomedical classification processes to support decision. To improve the classification ability and behavior of neural network is used by pre-processing and pre-clustered data with the help of Rule based induction, Multi-layer perceptron model, nearest neighbor, Radial basics function and back propagation learning algorithm is employed to classify such complex tasks. The proposed clustering algorithm applied to the bio medical dataset to reduce the amount of samples to be presented to the neural network. It improves accuracy and computation time when applied to the publicly available benchmark bio medical dataset.


[1] S. Mitra, S. Datta, T. Perkins, G. Michailidis “Introduction to Machine Learning and Bioinformatics” Chapman & Hall/CRC Press, 2008.
[2] Drazen.S. “Estimation of difficult to Measure process variables using neural networks” Proceedings of IEEE MELECON 2004,May 12-15, Dubrovnik, Croatia .
[3] Moreno.L, “Brain maturation estimation using neural classifier” IEEE Transaction of Bio Medical Engineering” vol 42, no 2, April 1995.
[4] Tarassenko.L, Y.U.Khan, M.R.G.Holt, “Identification of inter-ictal spikes in the EEG using neural network analysis” IEEE Proceedings –Science Measurement Technology, vol 145, no 6, November 1998.
[5] H.Demuth and M.Beale, “Neural network tool box: User’s guide, Version 3.0” Natick, MA, 1998.
[6] K. M. Faraoun, A. Boukelif “Neural Networks Learning Improvement using the K-Means Clustering Algorithm to Detect Network Intrusions” International Journal of Computational Intelligence Volume 3 Number 2.
[7] Imdad Ali Rizvi, B.Krishna Mohan “Improving the Accuracy of Object Based Supervised Image Classification using Cloud Basis Function Neural Network for High Resolution Satellite Images” International Journal of Image Processing (IJIP), Volume (4) Issue (4),
[8] A. Dallali, A. Kachouri, M. Samet “Fuzzy c-means clustering, Neural Network, wt, and Hrv for classification of cardiac arrhythmia” ARPN Journal of Engineering and Applied Sciences VOL. 6, NO. 10, OCTOBER 2011.
[9] R. Alejo, V. Garcia, J.M. Sotoca, R.A. Mollineda, J.S. Sánchez “Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples” Springer-Verlag Berlin Heidelberg 2006.
[10] B.Madasamy, Dr. J. Jebamalar Tamilselvi, “Optimal Data mining Classification Algorithm for Bio Medicinal Facts” International Journal of Advanced Computing Engineering Applications (IJACEA) February -2013.
[11] B.Madasamy, Dr. J. Jebamalar Tamilselvi,“General Web Knowledge Mining Framework” International Journal of Computer Science and Engineering (IJCSE) October -2012.
[12] B.Madasamy, Dr. J. Jebamalar Tamilselvi,“Assessment of Freeware Data Mining Tools over some Wide Range Characteristics”, SPRINGER Verlag Journal, ICIP - August 2012.
[13] B.Madasamy, Dr. J. Jebamalar Tamilselvi, “Wide Range Data Mining Application Framework using IT Decision Making” International Conference on Recent Trends in Computing Technology April 2013.
[14] B.Madasamy, Dr. J. Jebamalar Tamilselvi, “Taxonomy of Ageing in addition to non-Ageing Genes by means of General Data Mining Framework” International Journal of Computer Applications (IJCA) June - 2013.
[15] B.Madasamy, Dr. J. Jebamalar Tamilselvi, “General Framework for Biomedical Facts through Data Mining Practices” International Journal of Computer Trends and Technology (IJCTT) May – 2013.
[16] Guoqiang, Peter Zhang “Neural Networks for Classification: A Survey” IEEE transactions on systems, man, and cybernetics applications and reviews, vol. 30, no. 4, November 2000.
[17] Anchana Khemphila, Veera Boonjing “Parkinsons Disease Classification using Neural Network and Feature selection” World Academy of Science, Engineering and Technology 2012.
[18] Dr. K. Usha Rani “Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique” International Journal of Computer Applications Volume 10– No.3, November 2010.
[19] Chady El Moucary Marie Khair “Improving Student’s Performance Using Data Clustering and Neural Networks in Foreign-Language Based Higher Education” The Research Bulletin of Jordan ACM , Vol 2.
[20] R.HariKumar, N.S.Vasanthi, M.Balasubramani “Performance Analysis of Artificial Neural Networks and Statistical Methods in Classification of Oral and Breast Cancer Stages” International Journal of Soft Computing and Engineering (IJSCE) Volume 2, Issue 3, July 2012
[21] Zhou Yong Li Youwen and Xia Shixiong “An Improved KNN Text Classification Algorithm Based on Clustering” Journal of computers, vol. 4, no. 3, march 2009.
[22] Zhenxiang Chen, Bo Yang, Yuehui Chen, Lin Wang, Haiyang Wang, Ajith Abraham and Crina Grosan “Improving neural network classification using further division of recognition space” International Journal of Innovative Computing, Information and Control ICIC International Volume 5, Number 2, February 2009.
[23] Dr. Yashpal singh, Alok singh chauhan “Neural networks in Data mining” Journal of Theoretical and Applied Information Technology” - 2009 JATIT.
[24] Hyunsoo Yoon, Cheong-Sool Park, Jun Seok Kim, Jun-Geol Baek, “Algorithm learning based neural network integrating feature selection and classification” Expert Systems with Applications 40- 2013

Keywords — : Neural Network, Data mining, back propagation, Multilayer perceptron.