Improving Classification Performance with Statistically Weighted Dimensions and Dimensionality Reduction

Improving Classification Performance with Statistically Weighted Dimensions and Dimensionality Reduction

In image classification, various techniques have been developed to enhance the performance of principal component analysis (PCA) dimension reduction techniques with guiding weighting features to remove redundant and irrelevant features. This study proposes the statistically weighted dimension techni...

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Bibliographic Details
Main Authors: Uraiwan Buatoom, Muhammad Usman Jamil
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
statistically weighted dimension
feature weighting
dimension reduction
class character
collection-class
inter-class
Online Access:https://www.mdpi.com/2076-3417/13/3/2005

Internet

https://www.mdpi.com/2076-3417/13/3/2005

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