An Empirical Comparison of Stream Clustering Algorithms-Reference-Cited by-同舟云学术

An Empirical Comparison of Stream Clustering Algorithms

Published:2017-05-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Computing Frontiers Conference
language:
Short-container-title:

Author:

Carnein Matthias¹,Assenmacher Dennis¹,Trautmann Heike¹

Affiliation:

1. University of Münster, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3075564.3078887

Reference26 articles.

1. Marcel R. Ackermann Marcus Märtens Christoph Raupach Kamil Swierkot Christiane Lammersen and Christian Sohler. 2012. StreamKM+ +: A Clustering Algorithm for Data Streams. J. Exp. Algorithmics 17 (5 2012) 2.4:2.1--2.4:2.30. 10.1145/2133803.2184450 Marcel R. Ackermann Marcus Märtens Christoph Raupach Kamil Swierkot Christiane Lammersen and Christian Sohler. 2012. StreamKM+ +: A Clustering Algorithm for Data Streams. J. Exp. Algorithmics 17 (5 2012) 2.4:2.1--2.4:2.30. 10.1145/2133803.2184450

2. On Density-Based Data Streams Clustering Algorithms: A Survey

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MCMSTStream: applying minimum spanning tree to KD-tree-based micro-clusters to define arbitrary-shaped clusters in streaming data;Neural Computing and Applications;2024-02-27

2. ARD-Stream: An adaptive radius density-based stream clustering;Future Generation Computer Systems;2023-12

3. A big data exploration approach to exploit in-vehicle data for smart road maintenance;Future Generation Computer Systems;2023-12

4. Data Stream Clustering: An In-depth Empirical Study;Proceedings of the ACM on Management of Data;2023-06-13

5. Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches;Journal of Heuristics;2023-01-09