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Cluster Forests
v1v2v3 (latest)

Cluster Forests

14 April 2011
Donghui Yan
Aiyou Chen
Sai Li
ArXiv (abs)PDFHTML

Papers citing "Cluster Forests"

17 / 17 papers shown
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
Causal Clustering for Conditional Average Treatment Effects Estimation and Subgroup Discovery
Zilong Wang
Turgay Ayer
Shihao Yang
CML
117
0
0
06 Sep 2025
A Computational Approach to Improving Fairness in K-means Clustering
A Computational Approach to Improving Fairness in K-means Clustering
Guancheng Zhou
Haiping Xu
Hongkang Xu
Chenyu Li
Donghui Yan
FaML
231
0
0
29 May 2025
Automatically Score Tissue Images Like a Pathologist by Transfer
  Learning
Automatically Score Tissue Images Like a Pathologist by Transfer LearningThe New England Journal of Statistics in Data Science (JNESDS), 2022
Iris Yan
MedIm
187
1
0
09 Sep 2022
Massive feature extraction for explaining and foretelling hydroclimatic
  time series forecastability at the global scale
Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scaleGeoscience Frontiers (Geosci. Front.), 2021
Georgia Papacharalampous
Hristos Tyralis
I. Pechlivanidis
S. Grimaldi
E. Volpi
AI4TS
183
13
0
25 Jul 2021
Cross-Cluster Weighted Forests
Cross-Cluster Weighted Forests
M. Ramchandran
Rajarshi Mukherjee
Giovanni Parmigiani
439
2
0
17 May 2021
Global-scale massive feature extraction from monthly hydroclimatic time
  series: Statistical characterizations, spatial patterns and hydrological
  similarity
Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarityScience of the Total Environment (Sci Total Environ), 2020
Georgia Papacharalampous
Hristos Tyralis
S. Papalexiou
A. Langousis
S. Khatami
E. Volpi
S. Grimaldi
206
32
0
24 Oct 2020
$DC^2$: A Divide-and-conquer Algorithm for Large-scale Kernel Learning
  with Application to Clustering
DC2DC^2DC2: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
Ke Alexander Wang
Xinran Bian
Pan Liu
Donghui Yan
230
4
0
16 Nov 2019
Similarity Kernel and Clustering via Random Projection Forests
Similarity Kernel and Clustering via Random Projection Forests
Donghui Yan
Songxiang Gu
Ying Xu
Zhiwei Qin
120
3
0
28 Aug 2019
Fast communication-efficient spectral clustering over distributed data
Fast communication-efficient spectral clustering over distributed dataIEEE Transactions on Big Data (IEEE Trans. Big Data), 2019
Donghui Yan
Yingjie Wang
Jin Wang
Guodong Wu
Honggang Wang
123
5
0
05 May 2019
K-nearest Neighbor Search by Random Projection Forests
K-nearest Neighbor Search by Random Projection Forests
Donghui Yan
Yingjie Wang
Jin Wang
Honggang Wang
Zhenpeng Li
133
40
0
31 Dec 2018
Incorporating Deep Features in the Analysis of Tissue Microarray Images
Incorporating Deep Features in the Analysis of Tissue Microarray ImagesStatistics and its Interface (SII), 2018
Donghui Yan
T. Randolph
Jian Zou
Peng Gong
83
8
0
26 Nov 2018
Arbres CART et Forêts aléatoires, Importance et sélection de
  variables
Arbres CART et Forêts aléatoires, Importance et sélection de variables
Robin Genuer
Jean-Michel Poggi
284
10
0
26 Oct 2016
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
427
3,338
0
18 Nov 2015
DataGrinder: Fast, Accurate, Fully non-Parametric Classification
  Approach Using 2D Convex Hulls
DataGrinder: Fast, Accurate, Fully non-Parametric Classification Approach Using 2D Convex Hulls
M. Khabbaz
54
0
0
11 Nov 2015
Multilayer bootstrap networks
Multilayer bootstrap networksNeural Networks (NN), 2014
Xiao-Lei Zhang
412
20
0
05 Aug 2014
The geometry of kernelized spectral clustering
The geometry of kernelized spectral clustering
Geoffrey Schiebinger
Martin J. Wainwright
Bin Yu
206
64
0
29 Apr 2014
Simple Deep Random Model Ensemble
Xiao-Lei Zhang
Ji Wu
BDL
118
1
0
05 May 2013
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