Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
1. Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map

Manish Dubey; A.K Wadhwani; S. Wadhwani

Volume 5, Issue 4, pp. 160-211 , Autumn 2017, , Pages 191-199

http://dx.doi.org/10.26655/ijabbr.2017.9.7

Abstract
  The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis ...  Read More
Compression of Breast Cancer Images By Principal Component Analysis
2. Compression of Breast Cancer Images By Principal Component Analysis

Monika Saraswat; A. K. Wadhwani; Manish Dubey

Volume 1, Issue 7 , Summer 2013, , Pages 767-776

Abstract
  The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors ...  Read More
Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
3. Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map

Manish Dubey; A.K Wadhwani; S. Wadhwani

Volume 1, Issue 6 , Spring 2013, , Pages 624-636

Abstract
  The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis ...  Read More