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CRAD: Clustering with Robust Autocuts and Depth

CRAD: Clustering with Robust Autocuts and Depth

Xin Huang
Yulia R. Gel
ArXiv (abs)PDFHTML

Papers citing "CRAD: Clustering with Robust Autocuts and Depth"

4 / 4 papers shown
Title
SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption
SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption
Hao Shu
98
0
0
17 Feb 2025
Depth and depth-based classification with R-package ddalpha
Depth and depth-based classification with R-package ddalpha
Oleksii Pokotylo
Pavlo Mozharovskyi
R. Dyckerhoff
67
53
0
14 Aug 2016
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Recovering the number of clusters in data sets with noise features using feature rescaling factors
Renato Cordeiro de Amorim
Christian Hennig
33
319
0
22 Feb 2016
Depth statistics
Depth statistics
K. Mosler
176
109
0
20 Jul 2012

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