Sequential clustering: tracking down the most natural clusters-Reference-Cited by-同舟云学术

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Sequential clustering: tracking down the most natural clusters

Published:2005-11-30 Issue:11 Volume:2005 Page:P11014-P11014
ISSN:1742-5468
Container-title:Journal of Statistical Mechanics: Theory and Experiment
language:
Short-container-title:J. Stat. Mech.

Author:

Ott Thomas,Kern Albert,Steeb Willi-Hans,Stoop Ruedi

Publisher

IOP Publishing

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Statistical and Nonlinear Physics

Reference19 articles.

1. Some Thoughts about Classification

2. Sequential Superparamagnetic Clustering for Unbiased Classification of High-Dimensional Chemical Data

3. Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering

4. Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization

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