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

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

A new weighted fuzzy C-means clustering approach considering between-cluster separability

2021 ◽  
Vol 40 (1) ◽  
pp. 1017-1024
Author(s):  
Ziheng Wu ◽  
Cong Li ◽  
Fang Zhou ◽  
Lei Liu
Keyword(s):  
Clustering Algorithm ◽  
Feature Weighting ◽  
Weighting Method ◽  
New Approach ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Clustering Approach ◽  
Cluster Separability ◽  
Cluster Compactness ◽  
Real World Datasets

Fuzzy C-means clustering algorithm (FCM) is an effective approach for clustering. However, in most existing FCM type frameworks, only in-cluster compactness is taken into account, whereas the between-cluster separability is overlooked. In this paper, to enhance the clustering, by incorporating the feature weighting and data weighting method, we put forward a new weighted fuzzy C-means clustering approach considering between-cluster separability, in which for achieving good compactness and separability, making the in-cluster distances as small as possible and making the between-cluster distances as large as possible, the in-cluster distances and between-cluster distances are taken into account; To achieve the optimal clustering result, the iterative formulas of the feature weights, membership degrees, data weights and cluster centers are obtained by maximizing the in-cluster compactness and the between-cluster separability. Experiments on real-world datasets were carried out, the results showed that the new approach could obtain promising performance.

Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction

2020 ◽  
Vol 13 (5) ◽  
pp. 508-523 ◽  
Author(s):  
Guan‐Hua Huang ◽  
Chih‐Hsuan Lin ◽  
Yu‐Ren Cai ◽  
Tai‐Been Chen ◽  
Shih‐Yen Hsu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Stage ◽  
Brain Images ◽  
Functional Brain ◽  
Machine Learning Classification
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