DisRFC: a dissimilarity-based Random Forest Clustering approach-Reference-Cited by-同舟云学术

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DisRFC: a dissimilarity-based Random Forest Clustering approach

Published:2023-01 Issue: Volume:133 Page:109036
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Bicego Manuele

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. Random forests;Breiman;Mach. Learn.,2001

2. C4.5: Programs for Machine Learning;Quinlan,1993

3. The Dissimilarity Representation for Pattern Recognition: Foundations And Applications;Pekalska,2005

4. Extremely randomized trees;Geurts;Mach. Learn.,2006

5. Comparing images using the Hausdorff distance;Huttenlocher;IEEE Trans. Pattern Anal. Mach. Intell.,1993

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