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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.
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
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… 
2010
2010
Semi-supervised PLSA for Document Clustering
By utilizing the must-link or cannot-link pair wise constraints in data, semi-supervised clustering improves the performance of… 
2008
2008
Semi-Supervised Canonical Correlation Analysis Algorithm
In this paper,a semi-supervised canonical correlation analysis algorithm called Semi-CCA is developed, which uses supervision… 
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… 
Review
2004
Review
2004
Bandwidth-constrained clustering in ad hoc networks
We present a survey of the basic mechanisms and properties of existing clustering algorithms for wireless ad hoc networks. Based… 
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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