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Constrained clustering

Known as: Chunklet, Must-link 
In computer science, constrained clustering is a class of semi-supervised learning algorithms. Typically, constrained clustering incorporates either… 
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Related topics

Related topics

3 relations
Cluster analysisComputer scienceSemi-supervised learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Fuzzy clustering of multi-view relational data with pairwise constraints
Thvs paper presents SS-MVFCVSMdd, a semi-supervised multiview fuzzy clustering algorithm for relational data described by… 
2015
2015
Robust interactive image segmentation via graph-based manifold ranking
Interactive image segmentation aims at classifying the image pixels into foreground and background classes given some foreground… 
2014
2014
A semi-supervised temporal clustering method for facial emotion analysis
In this paper, we propose a semi-supervised temporal clustering method and apply it to the complex problem of facial emotion… 
2013
2013
Energy constraint clustering algorithms for wireless sensor networks
2012
2012
Linearly Constrained Robust Capon Beamforming
In this paper, a novel linearly constrained robust Capon beamformer (LCRCB) framework is proposed. In the LCRCB, linear… 
2011
2011
Testing Tasks Management in Testing Cloud Environment
In testing Cloud environment testing tasks requested by different tenants have many uncertainties. The arriving time, deadline… 
2010
2010
Energy-efficient mobile data collection in Wireless Sensor Networks with delay reduction using wireless communication
In a Wireless Sensor Network (WSN), battery power is a limited resource on the sensor nodes. Hence, the amount of power… 
2006
2006
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about… 
2005
2005
Fuzzy and Probabilistic Clustering with Shape and Size Constraints
More sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood… 
2001
2001
Video shot grouping using best-first model merging
For more efficiently organizing, browsing, and retrieving digital video, it is important to extract video structure information… 
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