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A new model and algorithm for clustering

  • Guohong Liang
  • , Ying Li
  • , Junqing Feng
  • Air Force Enigeering University
  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Clustering is a unsupervised pattern recognition method and an important research content in data mining and artificial intelligence. A new mathematical model of clustering is proposed using graph theory. It is proved theoretically that the model is a submodular function. According to it, a corresponding algorithm is proposed.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Interactive Applications - Proceedings of the 2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017
EditorsFatos Xhafa, Srikanta Patnaik, Albert Y. Zomaya
PublisherSpringer Verlag
Pages76-81
Number of pages6
ISBN (Print)9783319690957
DOIs
StatePublished - 2018
Event2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017 - Beijing, China
Duration: 17 Jun 2017 → 18 Jun 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume686
ISSN (Print)2194-5357

Conference

Conference2nd International Conference on Intelligent and Interactive Systems and Applications, IISA 2017
Country/TerritoryChina
CityBeijing
Period17/06/17 → 18/06/17

Keywords

  • Algorithm
  • Clustering
  • Model
  • Submodular function

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