Variation Of Information
Variation of Information is a metric in information theory that quantifies the distance between two clusterings by measuring the sum of the conditional entropies of each clustering given the other, thereby capturing the amount of information lost or gained when transitioning from one clustering to another.
27
Publications
2.7K
Citations
53
Authors
26
Institutions
Publications per year
2017–2026
8
Parents
27
1–5 of 27
53
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 53
26
University of Washington
Seattle, United States
2 h-index
2 publications
674 citations
Marina Del Rey Hospital
Marina del Rey, United States
2 h-index
2 publications
32 citations

Macquarie University
Sydney, Australia
2 h-index
2 publications
43 citations
Institute for Information Transmission Problems
Moscow, Russia
2 h-index
2 publications
29 citations

The University of Sydney
Sydney, Australia
1 h-index
1 publications
23 citations

Délégation Paris 5
Paris, France
1 h-index
2 publications
48 citations
Zhejiang Gongshang University
Hangzhou, China
1 h-index
5 publications
115 citations
Sorbonne Paris Cité
Paris, France
1 h-index
2 publications
48 citations
1–8 of 26
3 publications · 445 citations
3
h-index
2 publications · 29 citations
2
h-index
1 publications · 74 citations
1
h-index
JSTAT · 1 publications · 44 citations
1
h-index
1 publications · 154 citations
1
h-index
1–5