Real-Time Clustering for Large Sparse Online Visitor Data-Reference-Cited by-同舟云学术

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Real-Time Clustering for Large Sparse Online Visitor Data

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
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Author:

Chan Gromit Yeuk-Yin¹,Du Fan²,Rossi Ryan A.²,Rao Anup B.²,Koh Eunyee²,Silva Cláudio T.¹,Freire Juliana¹

Affiliation:

1. New York University

2. Adobe Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380183

Reference46 articles.

1. Experiments in Parallel Clustering with DBSCAN

2. Scaling up all pairs similarity search

3. Adaptive fuzzy clustering by fast search and find of density peaks

Cited by 3 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. Efficient Density-peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space;ACM Transactions on Knowledge Discovery from Data;2023-08-10

2. Adaptive load balancing in cluster computing environment;The Journal of Supercomputing;2023-06-10

3. Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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