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DBSCAN++: Towards fast and scalable density clustering
v1v2v3 (latest)

DBSCAN++: Towards fast and scalable density clustering

31 October 2018
J. Jang
Heinrich Jiang
ArXiv (abs)PDFHTML

Papers citing "DBSCAN++: Towards fast and scalable density clustering"

21 / 21 papers shown
Title
Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering
Sajjad Hashemian
85
0
0
11 Mar 2025
Dynamic DBSCAN with Euler Tour Sequences
Seiyun Shin
Ilan Shomorony
Peter Macgregor
48
0
0
11 Mar 2025
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
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Bryon Aragam
Ruiyi Yang
143
0
0
29 Oct 2024
Cooperation and Federation in Distributed Radar Point Cloud Processing
Cooperation and Federation in Distributed Radar Point Cloud Processing
S. Savazzi
V. Rampa
Sanaz Kianoush
Alberto Minora
L. Costa
59
0
0
03 May 2024
Automatic Controllable Colorization via Imagination
Automatic Controllable Colorization via Imagination
Xiaoyan Cong
Yue Wu
Qifeng Chen
Chenyang Lei
DiffM
62
5
0
08 Apr 2024
Scalable Density-based Clustering with Random Projections
Scalable Density-based Clustering with Random Projections
Haochuan Xu
Ninh Pham
104
1
0
24 Feb 2024
UniForCE: The Unimodality Forest Method for Clustering and Estimation of
  the Number of Clusters
UniForCE: The Unimodality Forest Method for Clustering and Estimation of the Number of Clusters
Georgios Vardakas
Argyris Kalogeratos
A. Likas
57
1
0
18 Dec 2023
Simple, Scalable and Effective Clustering via One-Dimensional
  Projections
Simple, Scalable and Effective Clustering via One-Dimensional Projections
Moses Charikar
Monika Henzinger
Lunjia Hu
Maximilian Vötsch
Erik Waingarten
72
2
0
25 Oct 2023
Learned Accelerator Framework for Angular-Distance-Based
  High-Dimensional DBSCAN
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
Yifan Wang
D. Wang
46
1
0
06 Feb 2023
Bagged $k$-Distance for Mode-Based Clustering Using the Probability of
  Localized Level Sets
Bagged kkk-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets
H. Hang
58
0
0
18 Oct 2022
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and
  Object Tracking
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking
Abhishek Kumar
Oladayo S. Ajani
Swagatam Das
R. Mallipeddi
OOD
26
7
0
05 Jun 2022
Fast and explainable clustering based on sorting
Fast and explainable clustering based on sorting
Xinye Chen
S. Güttel
50
11
0
03 Feb 2022
Fast Density Estimation for Density-based Clustering Methods
Fast Density Estimation for Density-based Clustering Methods
Difei Cheng
Ru Xu
Bo Zhang
Ruinan Jin
TPM
55
22
0
23 Sep 2021
GBHT: Gradient Boosting Histogram Transform for Density Estimation
GBHT: Gradient Boosting Histogram Transform for Density Estimation
Jingyi Cui
H. Hang
Yisen Wang
Zhouchen Lin
50
9
0
10 Jun 2021
MeanShift++: Extremely Fast Mode-Seeking With Applications to
  Segmentation and Object Tracking
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking
J. Jang
Heinrich Jiang
37
19
0
01 Apr 2021
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for
  the Visual Exploration of High-Dimensional Data
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
Youjia Zhou
N. Chalapathi
Archit Rathore
Yaodong Zhao
Bei Wang
71
18
0
06 Nov 2020
Faster DBSCAN via subsampled similarity queries
Faster DBSCAN via subsampled similarity queries
Heinrich Jiang
J. Jang
Jakub Lacki
29
14
0
11 Jun 2020
An Algorithmic Introduction to Clustering
An Algorithmic Introduction to Clustering
Bernardo A. Gonzalez-Torres
25
0
0
08 Jun 2020
Theoretically-Efficient and Practical Parallel DBSCAN
Theoretically-Efficient and Practical Parallel DBSCAN
Yiqiu Wang
Yan Gu
Julian Shun
53
59
0
12 Dec 2019
DBSCAN: Optimal Rates For Density Based Clustering
DBSCAN: Optimal Rates For Density Based Clustering
Daren Wang
X. Lu
Alessandro Rinaldo
40
15
0
09 Jun 2017
1