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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

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Highly Cited
2020
Highly Cited
2020
Massive Unsourced Random Access Based on Uncoupled Compressive Sensing: Another Blessing of Massive MIMO
We put forward a new algorithmic solution to the massive unsourced random access (URA) problem, by leveraging the rich spatial… 
2018
2018
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets
2018
2018
Modulation-Constrained Clustering Approach to Blind Modulation Classification for MIMO Systems
Blind modulation classification is a fundamental step before signal detection in cognitive radio networks where the knowledge of… 
Highly Cited
2017
Highly Cited
2017
Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity
Cosegmentation jointly segments the common objects from multiple images. In this paper, a novel clustering algorithm, called… 
2015
2015
Drivers of genotype by environment interaction in radiata pine as indicated by multivariate regression trees
2015
2015
A Unified Framework for Clustering Constrained Data Without Locality Property
In this paper, we consider a class of constrained clustering problems of points in Rd\documentclass[12pt]{minimal} \usepackage… 
Highly Cited
2010
Highly Cited
2010
Data clustering with size constraints
Highly Cited
2008
Highly Cited
2008
Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP)
Regionalization is to divide a large set of spatial objects into a number of spatially contiguous regions while optimizing an… 
Highly Cited
2008
Highly Cited
2008
Non-negative matrix factorization for semi-supervised data clustering
Traditional clustering algorithms are inapplicable to many real-world problems where limited knowledge from domain experts is… 
2007
2007
Incorporating User Provided Constraints into Document Clustering
Document clustering without any prior knowledge or background information is a challenging problem. In this paper, we propose SS… 
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