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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

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Approximation algorithmBiclusteringClustering high-dimensional dataDecorrelation

Broader (1)

Cluster analysis

Papers overview

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2017
2017
Load forecasting based on short-term correlation clustering
Load forecasting is the basis not only of power system stable and safe operation, but also of power demand side intelligent… 
2014
2014
Robust estimation of incorrect data using relative correlation clustering technique in wireless sensor networks
Data inaccuracy is an important problem in wireless sensor networks, since the accuracy is affected by harsh environments and… 
2011
2011
Scaling Inference for Markov Logic with a Task-Decomposition Approach
Motivated by applications in large-scale knowledge base construction, we study the problem of scaling up a sophisticated… 
2010
2010
Fast Filter Back Projection Algorithm Based on Hexagonal Grid
After optimizing filter back projection (FBP) algorithm of CT with the theory of symmetric transformation group and based on the… 
2010
2010
Correlation Clustering Model for Crime Pattern Detection
Detecting crime from data analysis can be difficult because daily activities of criminal generate large amounts of data. The… 
2009
2009
Multivariate GARCH Models with Correlation Clustering
This paper proposes a new clustered correlation multivariate GARCH model (CC-MGARCH) that allows conditional correlations to form… 
2009
2009
Correlation clustering on networks
Random networks with co-existing positive and negative links are studied from the viewpoint of the NP hard correlation clustering… 
2007
2007
LINEAR MANIFOLD CORRELATION CLUSTERING
The detection of correlations is a data mining task of increa sing importance due to new areas of application such as DNA… 
2005
2005
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of… 
2004
2004
Model-based Clustering With Soft And Probabilistic Constraints
The problem of clustering with constraints has received a lot of attention lately. Many existing algorithms assume the specified… 
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