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Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm

Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm

Joris Guérin
O. Gibaru
Stéphane Thiery
E. Nyiri
ArXiv (abs)PDFHTML

Papers citing "Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm"

4 / 4 papers shown
Title
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
193
4,951
0
06 Oct 2013
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm
M. E. Celebi
H. Kingravi
Patricio A. Vela
100
1,124
0
10 Sep 2012
A Tutorial on Bayesian Nonparametric Models
A Tutorial on Bayesian Nonparametric Models
S. Gershman
David M. Blei
120
594
0
14 Jun 2011
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
David M. Blei
Thomas Griffiths
Michael I. Jordan
580
706
0
03 Oct 2007