A principal component analysis-based feature dimensionality

HIGHLIGHTS

• who: TELKOMNIKA from the Department of Electrical and Information Engineering, Covenant University, PMB1023, Ota, Nigeria. have published the paper: A principal component analysis-based feature dimensionality, in the Journal: (JOURNAL) of Sep/13,/2018
• what: In this work a feature dimensionality reduction technique based on principal component analysis (PCA) is implemented.
• how: In this study principal component analysis (PCA) is integrated to the developed OC-SVM RF for the purpose of feature vector dimensionality reduction.

SUMMARY

One of the challenges of relevance feedback (RF) in image retrieval is the . . .

 



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