Research on parallel coordinate visualization technology based on principal component analysis and K-means clustering
In order to solve the problem that parallel coordinate visualization graphic lines are intensive,overlap and rules of data is not easy to be obtained which caused by high dimension and immense amount of multidimensional data.Parallel coordinate visualization method based on principal component analy...
Saved in:
Main Authors: | Guo-jun MA, Shui-bo WANG, Qing-qi PEI, Yang ZHAN |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2017-08-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00189 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
App-DDoS detection method based on K-means multiple principal component analysis
by: Hong-yu YANG, et al.
Published: (2014-05-01) -
Application of Principal Component Analysis for Steel Material Components
by: Miran Othman Tofiq, et al.
Published: (2022-12-01) -
The classification of concentration of mixture of analytes using total principal component regression
by: Romas Baronas, et al.
Published: (2005-12-01) -
Comprehensive Evaluation of Chestnut Quality Based on Principal Component and Cluster Analysis
by: Yanqi YU, et al.
Published: (2025-01-01) -
Risk factor analysis for stunting incidence using sparse categorical principal component logistic regression
by: Anna Islamiyati, et al.
Published: (2025-06-01)