An efficient approximation to the K-means clustering for massive data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient approximation to the K-means clustering for massive data

Published:2017-02 Issue: Volume:117 Page:56-69
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Capó Marco^ORCID,Pérez Aritz,Lozano Jose A.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference27 articles.

1. Popat p.: NP-hardness of euclidean sum-of-squares clustering;Aloise;Mach. Learn.,2009

2. k-means++: the advantages of careful seeding;Arthur,2007

3. Unsupervised feature selection for the k-means clustering problem;Boutsidis,2009

4. Random projections for k-means clustering;Boutsidis,2010

5. Refining initial points for k-means clustering;Bradley;ICML,1998

Cited by 160 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive review of clustering techniques in artificial intelligence for knowledge discovery: Taxonomy, challenges, applications and future prospects;Advanced Engineering Informatics;2024-10

2. Logging response prediction of high-lithium coal seam based on K-means clustering algorithm;Frontiers in Earth Science;2024-08-15

3. Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies;IEEE Transactions on Knowledge and Data Engineering;2024-08

4. Pre-processing satellite rainfall products improves hydrological simulations with machine learning;Hydrological Sciences Journal;2024-07-26

5. Identification and quality evaluation of Lushan Yunwu tea from different geographical origins based on metabolomics;Food Research International;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3