Automatic Classification of Asymptomatic and Osteoarthritis Knee Gait Patterns Using Kinematic Data Features and the Nearest Neighbor Classifier

2008 ◽  
Vol 55 (3) ◽  
pp. 1230-1232 ◽  
Author(s):  
N. Mezghani ◽  
S. Husse ◽  
K. Boivin ◽  
K. Turcot ◽  
R. Aissaoui ◽  
...  
Keyword(s):  
Nearest Neighbor ◽  
Automatic Classification ◽  
Gait Patterns ◽  
Kinematic Data ◽  
Nearest Neighbor Classifier ◽  
Osteoarthritis Knee ◽  
Neighbor Classifier

Gait Recognition Based on Locality Preserving Projections

2015 ◽  
Vol 738-739 ◽  
pp. 625-630
Author(s):  
Chao Li ◽  
Jin Ye Peng ◽  
Jing Guo ◽  
Xian Feng Wang ◽  
Xu Qi Wang
Keyword(s):  
Nearest Neighbor ◽  
Wavelet Packet ◽  
Gait Recognition ◽  
Recognition Method ◽  
The Public ◽  
Nearest Neighbor Classifier ◽  
Locality Preserving Projections ◽  
Locality Preserving ◽  
Neighbor Classifier

A gait recognition method based on wavelet packet decomposition (WPD) and Locality preserving projections (LPP) is proposed in this paper. The method includes the following steps, pretreatment, feature extraction by WPD and dimensionality reduction by LPP and classification of the test samples to a corresponding class according to the nearest neighbor classifier. The experiment results on the public gait database show the effectiveness of the proposed method.

scholarly journals On Improving the Classification of Imbalanced Data

2017 ◽  
Vol 17 (1) ◽  
pp. 45-62 ◽  
Author(s):  
Lincy Meera Mathews ◽  
Hari Seetha
Keyword(s):  
Nearest Neighbor ◽  
Imbalanced Data ◽  
Experimental Results ◽  
Minority Class ◽  
Nearest Neighbor Classifier ◽  
Neighbor Classifier

Abstract Mining of imbalanced data isachallenging task due to its complex inherent characteristics. The conventional classifiers such as the nearest neighbor severely bias towards the majority class, as minority class data are under-represented and outnumbered. This paper focuses on building an improved Nearest Neighbor Classifier foratwo class imbalanced data. Three oversampling techniques are presented, for generation of artificial instances for the minority class for balancing the distribution among the classes. Experimental results showed that the proposed methods outperformed the conventional classifier.

scholarly journals Nearest-neighbor classifier as a tool for classification of protein families

2010 ◽  
Vol 4 (9) ◽  
pp. 396-398 ◽  
Author(s):  
Mona Chaurasiya ◽  
Gohel Bakul Chandulal ◽  
Krishna Misra ◽  
Vivek Kumar Chaurasiya
Keyword(s):  
Nearest Neighbor ◽  
Protein Families ◽  
Nearest Neighbor Classifier ◽  
Neighbor Classifier
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