• An efficient algorithm to solv...

Treffer: An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm

Title:
An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm
Authors:
Kao, Chin-Chieh
Source:
Theses Digitization Project
Publisher Information:
CSUSB ScholarWorks
Publication Year:
2013
Collection:
California State University, San Bernardino Research: CSUSB ScholarWorks
Subject Terms:
Cluster analysis Computer programs, Computable functions, Computer networks, Data mining, Data Storage Systems
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
unknown
Availability:
https://scholarworks.lib.csusb.edu/etd-project/4221
https://scholarworks.lib.csusb.edu/context/etd-project/article/5305/viewcontent/AN_20EFFICIENT_20ALGORITHM_20TO_20SOLVE_20HIGH_DIMENSIONAL_20DATA_20CLUSTERING_20CANDIDATE_20SUBSPACE_20CLUSTERING_20ALGORITHM_20X.pdf
Accession Number:
edsbas.80E20FF3
Database:
BASE

Weitere Informationen

For this project, a comprehensive literature review on high dimensional data clustering is conducted and a novel density-algorithm to perform high dimensional data clustering is developed.