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Davies–Bouldin index

Known as: Davies-Bouldin index 
The Davies–Bouldin index (DBI) (introduced by David L. Davies and Donald W. Bouldin in 1979) is a metric for evaluating clustering algorithms. This… 
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Related topics

Related topics

4 relations
Cluster analysisDunn indexEuclidean distanceMATLAB

Papers overview

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2017
2017
A cluster validity for spatial clustering based on davies bouldin index and Polygon Dissimilarity function
Spatial clustering is most powerfully technology to spatial data mining. One of impartant part on spatial clustering is cluster… 
2015
2015
Intelligent Kernel K-Means for Clustering Gene Expression
Highly Cited
2015
Highly Cited
2015
Using internal validity measures to compare clustering algorithms
Recently, significant effort has been made to automate the machine learning process in the context of supervised learning. This… 
2013
2013
New Version of Davies-Bouldin Index for Clustering Validation Based on Cylindrical Distance
This paper presents a new version of Davies-Bouldin index for clustering validation through the use of a new distance based on… 
2012
2012
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines
In this work, we present a novel framework for automatic feature selection in brain-computer interfaces (BCIs). The proposal… 
2005
2005
Symbolic classification, clustering and fuzzy radial basis function network
Highly Cited
2003
Highly Cited
2003
Clustering and its validation in a symbolic framework
Highly Cited
2002
Highly Cited
2002
Genetic clustering for automatic evolution of clusters and application to image classification
Review
1999
Review
1999
Multi-spectral study of a new sample of Blue Compact Dwarf Galaxies - II. B and R surface photometry of 22 southern objects
We present the results of surface photometry on a new sample of Blue Compact Dwarf galaxies (BCDGs), in continuation to a… 
Highly Cited
1997
Highly Cited
1997
Cluster validation using graph theoretic concepts
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