DocumentCode :
2208193
Title :
Measurement of the correlation in a multidimensional feature space
Author :
Sen, Nirmalya ; Gupta, Rahul Das ; Chakroborty, Sandipan
Author_Institution :
Signal Process. Res. Group, Indian Inst. of Technol., Kharagpur, India
fYear :
2010
fDate :
July 29 2010-Aug. 1 2010
Firstpage :
452
Lastpage :
457
Abstract :
This paper introduces an index which can be used as a measure of correlation between features of a multidimensional feature vector. The proposed index has been intuitively explained using constant distance loci of Mahalanobis metric. More rigorous explanation has been given using orthogonal decomposition of the vector space. The application of the proposed index has been given using 2D synthetic data.
Keywords :
feature extraction; matrix algebra; pattern recognition; vectors; 2D synthetic data; Mahalanobis metric; constant distance loci; correlation Measurement; index; multidimensional feature space; orthogonal decomposition; vector space; Correlation; Covariance matrix; Equations; Feature extraction; Indexes; Matrix decomposition; Symmetric matrices; Correlation; Mahalanobis metric; constant distance loci; orthogonal projection; spectral decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2010 International Conference on
Conference_Location :
Mangalore
Print_ISBN :
978-1-4244-6651-1
Type :
conf
DOI :
10.1109/ICIINFS.2010.5578662
Filename :
5578662
Link To Document :
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