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Cluster hypothesis

Known as: Cluster assumption 
In machine learning and information retrieval, the cluster hypothesis is an assumption about the nature of the data handled in those fields, which… 
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Papers overview

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2019
2019
Determining <tex>$k$</tex>, the number clusters, is a key challenge in <tex>$k$</tex>-means clustering. We propose an approach… 
2017
2017
Saliency detection has been widely used as the pre-processing of the computer-vision tasks. Existing propagation based saliency… 
2015
2015
This paper presents a Transductive Support Vector Machine (TSVM) with quasi-linear kernel based on a clustering assumption for… 
2015
2015
This paper provides the optimal solution of the filtering design problem for a special class of discrete-time Markov jump linear… 
2010
2010
We propose a semi-supervised learning technique to address the problem of fusing multimodal information sources for CBIR. In our… 
2010
2010
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several… 
2008
2008
Semi-supervised learning became an important subdomain of machine learning in the last years. These methods try to exploit the… 
2004
2004
Search results clustering is an attempt to automatically organise a linear list of document references returned by a search… 
Review
1975
Review
1975
Soon after the invention of the magnetic fluid (MF), it was found that needlelike agglomerates (macro-clusters) were generated in…