A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies

标题
A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies
作者
关键词
Hierarchical clustering, Optimal selection of clusters , Should-link and should-not-link constraints, Cluster quality
出版物
DATA MINING AND KNOWLEDGE DISCOVERY
Volume 27, Issue 3, Pages 344-371
出版商
Springer Nature
发表日期
2013-04-03
DOI
10.1007/s10618-013-0311-4

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started