Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters

Published in

Knowledge Discovery and Data Mining(2017)

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TL

TL;DR

Ego-splitting is a highly scalable and flexible framework that reduces the complex overlapping clustering problem to a simpler and more amenable non-overlapping (partitioning) problem.

Authors

Alessandro Epasto

1 papers

Silvio Lattanzi

1 papers

R. Leme

1 papers

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Field of Study

MathematicsComputer Science

Journal Information

Name

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Venue Information

Name

Knowledge Discovery and Data Mining

Type

conference

URL

http://www.acm.org/sigkdd/

Alternate Names

KDD
Knowl Discov Data Min