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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… Expand
National Institutes of Health

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… Expand
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Highly Cited
2011
Highly Cited
2011
This paper introduces a product quantization-based approach for approximate nearest neighbor search. The idea is to decompose the… Expand
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Highly Cited
2010
Highly Cited
2010
PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing… Expand
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Highly Cited
2009
Highly Cited
2009
Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000… Expand
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Review
2007
Review
2007
The use of 16S rRNA gene sequences to study bacterial phylogeny and taxonomy has been by far the most common housekeeping genetic… Expand
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Highly Cited
2000
Highly Cited
2000
ROC curves are a popular method for displaying sensitivity and specificity of a continuous diagnostic marker, X, for a binary… Expand
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Highly Cited
1998
Highly Cited
1998
We present two algorithms for the approximate nearest neighbor problem in high-dimensional spaces. For data sets of size n living… Expand
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Highly Cited
1994
Highly Cited
1994
Consider a set of <italic>S</italic> of <italic>n</italic> data points in real <italic>d</italic>-dimensional space, R<supscrpt… Expand
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Highly Cited
1990
Highly Cited
1990
 
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Highly Cited
1972
Highly Cited
1972
The convergence properties of a nearest neighbor rule that uses an editing procedure to reduce the number of preclassified… Expand
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