Random Dimension Manipulation for Efficient High-Dimensional Data Clustering

High-dimensional data is collected from various sources, fields, and applications such as medicine, science, business and more to provide helpful information to others. Unfortunately, the complexity of high-dimensional data has made it difficult to interpret and understand. As a result, sophisticate...

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Bibliographic Details
Published in:Journal of Advanced Research in Applied Sciences and Engineering Technology
Main Author: Zaki U.H.H.; Kamsani I.I.; Ibrahim R.; Sakamat N.; Kandogan E.
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2025
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204169136&doi=10.37934%2faraset.51.1.129140&partnerID=40&md5=794e4e2dccf85c13afc585e08b4acb08