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… (More)
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2014
2014
The existing semisupervised techniques based on progressive transductive support vector machine (PTSVM) iteratively select… (More)
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2013
2013
In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold… (More)
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Review
2013
Review
2013
The cluster hypothesis states that “closely associated documents tend to be relevant to the same requests” [1]. This is one of… (More)
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2011
2011
Document clustering offers the potential of supporting users in interactive retrieval, especially when users have problems in… (More)
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2009
2009
We have found that the nearest neighbor (NN) test is an insufficient measure of the cluster hypothesis. The NN test is a local… (More)
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2006
2006
How to merge and organise query results retrieved from different resources is one of the key issues in distributed information… (More)
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Highly Cited
2004
Highly Cited
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this… (More)
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Highly Cited
2002
Highly Cited
2002
We propose a framework to incorporate unlabeled data in kernel classifier, based on the idea that two points in the same cluster… (More)
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Highly Cited
1996
Highly Cited
1996
We present Scatter/Gather, a cluster-based document browsing method, as an alternative to ranked titles for the organization and… (More)
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Highly Cited
1996
Highly Cited
1996
We propose a self-organizing network for hyperellipsoidal clustering (HEC). It consists of two layers. The first employs a number… (More)
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