Cluster ensembles

By Joydeep Ghosh, Ayan Acharya. Data Clustering: Algorithms and Applications, 2011

328 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a5291ea9554d2b17f1a600ba3e1c6bd75235b273

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dylan Thurston
2. Sergey Fomin
3. L. Dixon
4. Andrew J. McLeod
5. M. Spradlin
6. G. Papathanasiou
7. J. Drummond

In Statistical and Nonlinear Physics

1. Dylan Thurston
2. Sergey Fomin
3. L. Dixon
4. M. Spradlin
5. G. Papathanasiou
6. J. Drummond
7. Andrei Zelevinsky
8. Ralf Schiffler

In Signal Processing

1. Dylan Thurston
2. Sergey Fomin
3. M. Spradlin
4. G. Papathanasiou
5. J. Drummond

Citations in the corpus

• Heptagons from the Steinmann cluster bootstrap (2016, methodology): “The cluster bootstrap program is built on the idea that certain scattering amplitudes can be determined order by order in perturbation theory using a set of basic building blocks known as cluster coordinates [36, 37].”
• Cluster Algebras and Triangulated Surfaces Part II: Lambda Lengths (2012, background): “(This class of cluster algebras already appeared in [5, 6, 21].”
• Tetrahedra of flags, volume and homology of SL.3/ (2011, background): “Our approach is very related to the work of Fock and Goncharov [9; 10].”