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A Practical Algorithm for Distributed Clustering and Outlier Detection

A Practical Algorithm for Distributed Clustering and Outlier Detection

24 May 2018
Jiecao Chen
Erfan Sadeqi Azer
Qin Zhang
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Papers citing "A Practical Algorithm for Distributed Clustering and Outlier Detection"

5 / 5 papers shown
Title
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with
  Disentangled Product-of-Experts Modeling
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling
Hao Wang
Zhi-Qi Cheng
Jingdong Sun
Xin Yang
Xiao-Jun Wu
Hongyang Chen
Yan Yang
33
5
0
28 Oct 2023
Fast Distributed k-Means with a Small Number of Rounds
Fast Distributed k-Means with a Small Number of Rounds
Tom Hess
Ron Visbord
Sivan Sabato
26
1
0
31 Jan 2022
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
33
4
0
11 Jun 2021
Is Simple Uniform Sampling Effective for Center-Based Clustering with
  Outliers: When and Why?
Is Simple Uniform Sampling Effective for Center-Based Clustering with Outliers: When and Why?
Jiawei Huang
Wenjie Liu
Hu Ding
17
1
0
28 Feb 2021
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in
  Massive-Scale Datasets
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets
Sayyed-Ahmad Naghavi-Nozad
M. Haeri
G. Folino
15
21
0
13 Jun 2020
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