Single-linkage clustering

Known as: Nearest neighbor clustering, Singlelinkage clustering, Single linkage clustering 
In statistics, single-linkage clustering is one of several methods of hierarchical clustering. It is based on grouping clusters in bottom-up fashion… (More)
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Papers overview

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2015
2015
We present a method for hierarchical image segmentation that defines a disaffinity graph on the image, over-segments it into… (More)
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2015
2015
Potato is an important cash and food crop, a source of income to many small scale farmers in Eritrea. In the long tradition of… (More)
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Review
2013
Review
2013
Clusters are useful to identify required object from the huge amount of datasets. There are lots of clustering methods, used to… (More)
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2013
2013
Personal computing technologies are everywhere; hence, there are an abundance of staggeringly large data sets-the Library of… (More)
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Highly Cited
2011
Highly Cited
2011
This paper presents algorithms for hierarchical, agglomerative clustering which perform most efficiently in the general-purpose… (More)
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Highly Cited
2010
Highly Cited
2010
The number of gene sequences that are available for comparative genomics approaches is increasing extremely quickly. A current… (More)
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Highly Cited
2009
Highly Cited
2009
Despite the widespread use of Clustering, there is distressingly little general theory of clustering available. Questions like… (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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Highly Cited
2000
Highly Cited
2000
MOTIVATION Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into… (More)
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Highly Cited
1973
Highly Cited
1973
Main point Sibson gives an O(n 2) algorithm for single-linkage clustering, and proves that this algorithm achieves the… (More)
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