Information-theoretic Feature Selection from Unattributed Graphs

Authors:
Boyan Bonev;Francisco Escolano;Daniela Giorgi;Silvia Biasotti
Affiliations:
-;-;-;-
Venue:
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Year:
2010

Citing 0
Cited 1

Unsupervised Feature Selection with Feature Clustering

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

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Abstract

In this work we evaluate purely structural graph measures for 3D objects classification. We extract spectral features from different Reeb graph representations. Information-theoretic feature selection gives an insight on which are the most relevant features.