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Correlation clustering
Clustering is the problem of partitioning data points into groups based on their similarity. Correlation clustering provides a method for clustering…
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Related topics
Related topics
14 relations
Approximation algorithm
Biclustering
Clustering high-dimensional data
Decorrelation
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Broader (1)
Cluster analysis
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Hierarchical Planar Correlation Clustering for Cell Segmentation
Julian Yarkony
,
Chong Zhang
,
Charless C. Fowlkes
Energy Minimization Methods in Computer Vision…
2015
Corpus ID: 11301571
We introduce a novel algorithm for hierarchical clustering on planar graphs we call “Hierarchical Greedy Planar Correlation…
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2013
2013
Learning to discover objects in RGB-D images using correlation clustering
Michael Firman
,
D. Thomas
,
S. Julier
,
A. Sugimoto
IEEE/RSJ International Conference on Intelligent…
2013
Corpus ID: 18412422
We introduce a method to discover objects from RGB-D image collections which does not require a user to specify the number of…
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2011
2011
Scaling Inference for Markov Logic with a Task-Decomposition Approach
Feng Niu
,
Ce Zhang
,
Christopher Ré
,
J. Shavlik
2011
Corpus ID: 18247482
Motivated by applications in large-scale knowledge base construction, we study the problem of scaling up a sophisticated…
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2010
2010
Fast Filter Back Projection Algorithm Based on Hexagonal Grid
Yidong Wang
,
P. Xi
,
Wei Xue
International Conference on Electrical and…
2010
Corpus ID: 22617859
After optimizing filter back projection (FBP) algorithm of CT with the theory of symmetric transformation group and based on the…
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2009
2009
Correlation clustering on networks
Zoltán Néda
,
Robert Sumi
,
M. Ercsey-Ravasz
,
Melinda Varga
,
B. Molnár
,
Györgyi Cseh
2009
Corpus ID: 67823750
Random networks with co-existing positive and negative links are studied from the viewpoint of the NP hard correlation clustering…
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2009
2009
Applying relevant set correlation clustering to multi-criteria recommender systems
N. Nnadi
ACM Conference on Recommender Systems
2009
Corpus ID: 12137071
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N…
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2009
2009
A PTAS for the Minimum Consensus Clustering Problem with a Fixed Number of Clusters
P. Bonizzoni
,
G. D. Vedova
,
R. Dondi
Italian Conference on Theoretical Computer…
2009
Corpus ID: 15244160
The Consensus Clustering problem has been introduced as an effective way to analyze the results of different microarray…
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2007
2007
LINEAR MANIFOLD CORRELATION CLUSTERING
R. Harpaz
,
R. Haralick
2007
Corpus ID: 32737924
The detection of correlations is a data mining task of increa sing importance due to new areas of application such as DNA…
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2005
2005
Linear Manifold Clustering
R. Haralick
,
R. Harpaz
IAPR International Conference on Machine Learning…
2005
Corpus ID: 3332170
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of…
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2004
2004
Model-based Clustering With Soft And Probabilistic Constraints
Martin H. C. Law
,
A. Topchy
,
Anil K. Jain
2004
Corpus ID: 9423238
The problem of clustering with constraints has received a lot of attention lately. Many existing algorithms assume the specified…
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