Reduction algorithm based on supervised discriminant projection for network security data
In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant pro...
Saved in:
Main Authors: | Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2021-06-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021117/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction
by: Bei Zhu, et al.
Published: (2025-02-01) -
FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION
by: LI Lei, et al.
Published: (2017-01-01) -
FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED ORTHOGONAL NEIGHBORHOOD ADAPTIVE LOCALITY PRESERVING PROJECTIONS
by: YANG Le
Published: (2018-01-01) -
Data processing method for telecom data based on projection pursuit
by: Jinming ZHAO
Published: (2016-12-01) -
Fault Identification based on Improved Supervised Orthogonal Neighborhood Preserving Embedding
by: Ji Yunfeng, et al.
Published: (2017-01-01)