한국해양대학교

Detailed Information

Metadata Downloads

군집 분석 방법에 대한 비교 연구

Title
군집 분석 방법에 대한 비교 연구
Alternative Title
A Comparative Study of Clustering Analysis Algorithm
Author(s)
양태민
Publication Year
2016
Publisher
한국해양대학교 대학원
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002235194
http://repository.kmou.ac.kr/handle/2014.oak/8759
Abstract
Clustering analysis is a widely used in data mining to classify data into categories on the basis of their similarity. Its applications broadly range from pattern recognition to microarray, multimedia, bibliometrics, bioinfomatics, and astronomy. Through the decades, many clustering techniques, such as hierarchical and non-hierarchical algorithm have been developed. Recently, fast search by density peaks of clustering algorithm was presented in the science journal. In this thesis, we perform a comparative study of the performance of the fast search and the existing methods on the benchmark data sets in the literature. From computational experiments, we notice that the accuracy of the fast search is more or less sensitive to the value of parameters for the cluster centers.
Appears in Collections:
데이터정보학과 > Thesis
Files in This Item:
000002235194.pdf Download

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse