Parkinsons Disease Clustering and Classification with Multi Layer Perceptron using Best Ranked Voice Feature and Associative Rule Generation
In the present paper several clustering and classification work is done with Parkinsons patient and normal human voice sample available in UCI data repository. An accuracy of 89.66% is achieved using MLP classifier with all 22 raw features. An accuracy of 85% is achieved with only 1 PCA component. ReliefF algorithm is used to find the best ranked features. With 3 best ranked raw features the present work achieves 85% accuracy. Association rule are also shown using Apriori algorithm with 100% support and confidence. kMeans and Filtered Cluster are applied to the dataset with 2 cluster centers.
Keywords: Neuro disorder, Dopamine, Vocal frequency, SVM, ROC, Apriori algorithm, PCA
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ABOUT THE AUTHORS
Arup Kumar Bhattacharjee
Arup Kumar Bhattacharjee received his MCA Degree from University of Kalyani and his M.Tech from West Bengal University of Technology. He is an Assistant Professor of Computer Application at RCC Institute of Information Technology, Kolkata, India. He has more than 14 years teaching experience in the field of Computer Science and Application. His research interests include Soft Computing and Object Technology. He has contributed in over 20 internationally acclaimed books in the field of Computer Science and Engineering. He has also edited 2 books.
Soumen Mukherjee
Soumen Mukherjee did his B.Sc (Physics Honours) from Calcutta University, M.C.A. from Kalyani University and ME in Information Technology from West Bengal University of Technology. He is the silver medalist for ME examination in the university. He has done his Post-Graduate Diploma in Business Management from Institute of Management Technology, Center of Distance Learning, Ghaziabad. He is now working as an Assistant Professor in RCC Institute of Information Technology, Kolkata. He has 14 years teaching experience in the field of Computer Science and Application. He has over 30 research paper published in different National and International Journal and Conferences. He has contributed in over 20 internationally acclaimed books in the field of Computer Science and Engineering. He has edited 2 books. His research fields are Image Processing and Machine Learning. He is a life member of several institutions like IETE, CSI, ISTE, FOSET etc.
Arup Kumar Bhattacharjee
Arup Kumar Bhattacharjee received his MCA Degree from University of Kalyani and his M.Tech from West Bengal University of Technology. He is an Assistant Professor of Computer Application at RCC Institute of Information Technology, Kolkata, India. He has more than 14 years teaching experience in the field of Computer Science and Application. His research interests include Soft Computing and Object Technology. He has contributed in over 20 internationally acclaimed books in the field of Computer Science and Engineering. He has also edited 2 books.
Soumen Mukherjee
Soumen Mukherjee did his B.Sc (Physics Honours) from Calcutta University, M.C.A. from Kalyani University and ME in Information Technology from West Bengal University of Technology. He is the silver medalist for ME examination in the university. He has done his Post-Graduate Diploma in Business Management from Institute of Management Technology, Center of Distance Learning, Ghaziabad. He is now working as an Assistant Professor in RCC Institute of Information Technology, Kolkata. He has 14 years teaching experience in the field of Computer Science and Application. He has over 30 research paper published in different National and International Journal and Conferences. He has contributed in over 20 internationally acclaimed books in the field of Computer Science and Engineering. He has edited 2 books. His research fields are Image Processing and Machine Learning. He is a life member of several institutions like IETE, CSI, ISTE, FOSET etc.
