733
Views
89
CrossRef citations to date
0
Altmetric
Original Articles

Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering

Pages 597-609 | Received 24 Sep 2010, Accepted 08 Apr 2011, Published online: 20 May 2011

References

  • Bezdek , JC . 1981 . Pattern Recognition With Fuzzy Objective Function Algorithms , New York : Plenum Press .
  • Bhattacharya, I., and Bhatia, M.P.S. (2010), ‘SVM Classification to Distinguish Parkinson Disease Patients’, in A2CWiC '10 Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India. Krishnashree Achuthan Amrita University, India. DOI: 10.1145/1858378.1858392
  • Bolat , B and Sert , SN . 2010 . Classification of Parkinson's Disease by Using Voice Measurements . International Journal of Reasoning-based Intelligent Systems , 2 : 279 – 284 .
  • Chiu , SL . 1994 . Fuzzy Model Identification Based on Cluster Estimation . Journal of Intelligent and Fuzzy Systems , 2 : 267 – 278 .
  • Dasarathy, B.V. (ed.) (1991) Nearest Neighbor (NN) Norms: NN Pattern Classification Techniques, Los Alamitos, CA: IEEE Computer Society Press. ISBN 0-8186-8930-7
  • Elbaz , A , Bower , JH , Maraganore , DM , McDonnell , SK , Peterson , BJ , Ahlskog , JE , Schaid , DJ and Rocca , WA . 2002 . Risk Tables for Parkinsonism and Parkinson's Disease . Journal of clinical epidemiology , 55 : 25 – 31 .
  • Guldemır , H and Sengur , A . 2006 . Comparison of Clustering Algorithms for Analog Modulation Classification . Expert Systems with Applications , 30 : 642 – 649 .
  • Guo , PF , Bhattacharya , P and Kharma , N . 2010 . Advances in Detecting Parkinson's Disease . Lecture Notes in Computer Science , 6165/2010 : 306 – 314 .
  • Höppner , F , Klawonn , F and Kruse , R . 1999 . Fuzzy Cluster Analysis: Methods for Classification, Data Analysis, and Image Recognition , New York : Wiley .
  • http://www.fon.hum.uva.nl/praat/manual/kNN_classifiers_1__What_is_a_kNN_classifier.html (accessed 2011)
  • Kanungo , T , Mount , DM , Netanyahu , NS , Piatko , CD , Silverman , R and Wu , AY . 2002 . An Efficient k-Means Clustering Algorithm: Analysis and Implementation . IEEE Transactions on Pattern Analysis and Machine Intelligence , 24 : 881 – 892 .
  • Latifoglu , F , Polat , K , Kara , S and Günes , S . 2008 . Medical Diagnosis of Atherosclerosis from Carotid Artery Doppler Signals Using Principal Component Analysis (PCA), k-NN Based Weighting Pre-Processing and Artificial Immune Recognition System (AIRS) . Journal of Biomedical Informatics , 41 : 15 – 23 .
  • Lin, Y. (2010), ‘Affective Driving’, in Emotional Engineering: Service Development (Chap. 14, 1st ed.), ed. S. Fukuda, London: Springer (invited chapter), 395 pp
  • Little , MA , McSharry , PE , Hunter , EJ and Ramig , LO . 2009 . Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease . IEEE Transactions on Biomedical Engineering , 56 : 1015 – 1022 .
  • Little , MA , McSharry , PE , Roberts , SJ , Costello , DA and Moroz , IM . 2007 . Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection . Biomedical Engineering Online , 6 : 23
  • MacQueen, J.B. (1967), ‘Some Methods for classification and Analysis of Multivariate Observations’, in Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Berkeley, CA, pp. 281–297. MR0214227. Zbl 0214.46201
  • Sakar , CO and Kursun , O . 2010 . Telediagnosis of Parkinson's Disease Using Measurement of Dysphonia . Journal of Medical Systems , 34 : 591 – 599 .
  • Shakhnarovich , G , Darrell , T and Indyk , P . 2005 . Nearest-neighbor Methods in Learning and Vision , Cambridge : The MIT Press . ISBN 0-262-19547-X
  • Takagi , T and Sugeno , M . 1985 . Fuzzy Identification of Systems and its Applications to Modeling and Control . IEEE Transactions on Systems, Man, and Cybernetics , 15 : 116 – 132 .
  • Xu , R and Wunsch II , D . 2005 . Survey of Clustering Algorithms . IEEE Transactions on Neural Networks , 16 : 645 – 678 .
  • Yager , RR and Filev , DP . 1994 . Generation of Fuzzy Rules by Mountain Clustering . IEEE Transactions on Systems, Man and Cybernetics , 24 : 209 – 219 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.