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Authors: Zeev Volkovich and Renata Avros

Affiliation: Ort Braude College of Engineering, Israel

Keyword(s): Spectral Clustering, Model Selection

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: An open problem in spectral clustering concerning of finding automatically the number of clusters is studied. We generalize the method for the scale parameter selecting offered in the Ng-Jordan-Weiss (NJW) algorithm and reveal a connection with the distance learning methodology. Values of the scaling parameter estimated via clustering of samples drawn are considered as a cluster stability attitude such that the clusters quantity corresponding to the most concentrated distribution is accepted as “true” number of clusters. Numerical experiments provided demonstrate high potential ability of the offered method.

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Paper citation in several formats:
Volkovich, Z. and Avros, R. (2012). Model Selection and Stability in Spectral Clustering . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 25-34. DOI: 10.5220/0004132700250034

@conference{kdir12,
author={Zeev Volkovich. and Renata Avros.},
title={Model Selection and Stability in Spectral Clustering },
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR},
year={2012},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004132700250034},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - Model Selection and Stability in Spectral Clustering
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Volkovich, Z.
AU - Avros, R.
PY - 2012
SP - 25
EP - 34
DO - 10.5220/0004132700250034
PB - SciTePress