Diagnosis of Parkinson’s Disease using Fuzzy C-Means Clustering and Pattern Recognition

Southeast Europe Journal of Soft Computing ◽

10.21533/scjournal.v2i1.44 ◽

2013 ◽

Vol 2 (1) ◽

Author(s):

Indira Rustempasic ◽

Mehmet Can

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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

International Journal of Systems Science ◽

10.1080/00207721.2011.581395 ◽

2012 ◽

Vol 43 (4) ◽

pp. 597-609 ◽

Author(s):

Kemal Polat

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Weighting ◽

Weighting Method ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Pattern recognition based on weighted fuzzy C-means clustering

2013 6th International Congress on Image and Signal Processing (CISP) ◽

10.1109/cisp.2013.6745213 ◽

2013 ◽

Author(s):

Yushun Tan ◽

Senfa Chen

Keyword(s):

Pattern Recognition ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson’s disease

Neurological Disorders and Imaging Physics, Volume 5 ◽

10.1088/978-0-7503-2723-7ch8 ◽

2020 ◽

Author(s):

Juan Rafael Orozco-Arroyave ◽

Juan Camilo Vásquez-Correa ◽

Elmar Nöth

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Signal Processing ◽

Automatic Assessment ◽

Motor Impairments

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A pattern recognition method for stage classification of Parkinson's disease utilizing voice features

2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES) ◽

10.1109/iecbes.2014.7047636 ◽

2014 ◽

Author(s):

Wahyu Caesarendra ◽

Mochammad Ariyanto ◽

Joga D. Setiawan ◽

Moh. Arozi ◽

Cindy R. Chang

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Pattern Recognition Method ◽

Recognition Method ◽

Stage Classification

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Handwritten pattern recognition for early Parkinson’s disease diagnosis

Pattern Recognition Letters ◽

10.1016/j.patrec.2019.04.003 ◽

2019 ◽

Vol 125 ◽

pp. 78-84 ◽

Author(s):

Lucas S. Bernardo ◽

Angeles Quezada ◽

Roberto Munoz ◽

Fernanda Martins Maia ◽

Clayton R. Pereira ◽

...

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Disease Diagnosis ◽

Early Parkinson’S Disease

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A Polarization Image Pattern Recognition Method Based on Fuzzy C-means Clustering and Edge Detection Algorithms

ACTA PHOTONICA SINICA ◽

10.3788/gzxb20134210.1244 ◽

2013 ◽

Vol 42 (10) ◽

pp. 1244-1247

Author(s):

虞文俊 YU Wen-jun ◽

顾国华 GU Guo-hua

Keyword(s):

Pattern Recognition ◽

Edge Detection ◽

Pattern Recognition Method ◽

Recognition Method ◽

Fuzzy C Means ◽

Detection Algorithms ◽

Polarization Image ◽

Fuzzy C Means Clustering ◽

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Application of pattern recognition framework for quantification of Parkinson's disease in DAT SPECT imaging

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) ◽

10.1109/nssmic.2014.7430772 ◽

2014 ◽

Author(s):

Saurabh Jain ◽

Yousef Salimpour ◽

Laurent Younes ◽

Gwenn Smith ◽

Zoltan Mari ◽

...

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

Spect Imaging ◽

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THE PROBLEM OF PATTERN RECOGNITION FOR DIAGNOSIS OF PARKINSON’S DISEASE BY EEG DATA

Visualization Image Processing and Computation in Biomedicine ◽

10.1615/visualizimageproccomputatbiomed.2013005970 ◽

2013 ◽

Author(s):

Feodor N. Grigoriev ◽

Nicolai A. Kuznetsov

Keyword(s):

Parkinson’S Disease ◽

Pattern Recognition ◽

Parkinson's Disease ◽

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Application of Fuzzy C-Means Clustering Approach to Partial Discharge Pattern Recognition of Cast-Resin Current Transformers

2006 IEEE 8th International Conference on Properties and applications of Dielectric Materials ◽

10.1109/icpadm.2006.284193 ◽

2006 ◽

Author(s):

Wen-yeau Chang ◽

Hong-tzer Yang

Keyword(s):

Pattern Recognition ◽

Partial Discharge ◽

Discharge Pattern ◽

Current Transformers ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

Clustering Approach

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Econometric Modeling Based on Pattern Recognition via the Fuzzy C-Means Clustering Algorithm

Computer-Aided Econometrics ◽

10.1201/9780203911570.ch14 ◽

2003 ◽

Author(s):

Robert Draeseke ◽

David Giles

Keyword(s):

Pattern Recognition ◽

Clustering Algorithm ◽

Econometric Modeling ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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