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LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density
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LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density

A. Taghribi
K. Bunte
Rory Smith
Jihye Shin
Michele Mastropietro
R. Peletier
Peter Tiño
ArXiv (abs)PDFHTML

Papers citing "LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density"

4 / 4 papers shown
Title
Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reduction
Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reduction
P. Dixit
37
6
0
13 Jun 2018
Clustering with Outlier Removal
Clustering with Outlier Removal
Hongfu Liu
Jun Yu Li
Yue Wu
Y. Fu
50
68
0
05 Jan 2018
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms
A. Little
Mauro Maggioni
James M. Murphy
54
50
0
17 Dec 2017
Robust Multiple Manifolds Structure Learning
Robust Multiple Manifolds Structure Learning
Dian Gong
Xuemei Zhao
Gérard Medioni
75
58
0
18 Jun 2012

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