Single Linkage Cluster Analysis

Known as: Nearest Neighbor, Single Linkage, Single Linkage Clustering 
A clustering method in which the distance between two clusters is determined by the distance of the two closest objects (nearest neighbors) in the… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1979-2018
05010019792018

Papers overview

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Highly Cited
2014
Highly Cited
2014
For many computer vision and machine learning problems, large training sets are key for good performance. However, the most… (More)
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Highly Cited
2010
Highly Cited
2010
In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using… (More)
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Highly Cited
2008
Highly Cited
2008
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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2007
2007
The goal of clustering is to detect the presence of distinct groups in a data set and assign group labels to the observations… (More)
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Highly Cited
2007
Highly Cited
2007
It has been recognized that effective fault detection techniques can help semiconductor manufacturers reduce scrap, increase… (More)
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Highly Cited
2002
Highly Cited
2002
Clustering depends critically on density and distance (similarity), but these concepts become increasingly more difficult to… (More)
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Highly Cited
2001
Highly Cited
2001
MOTIVATION We recently introduced a multivariate approach that selects a subset of predictive genes jointly for sample… (More)
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Highly Cited
1999
Highly Cited
1994
Highly Cited
1994
The K-nearest-neighbor decision rule assigns an object of unknown class to the plurality class among the K labeled \training… (More)
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Highly Cited
1979
Highly Cited
1979
This study explores the scope for achieving enhanced recognition system performance through deployment of a composite classifier… (More)
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