A Survey of Parallel Clustering Algorithms Based on Spark
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Clustering is one of the most important unsupervised machine learning tasks, which is widely used in information retrieval, social network analysis, image processing, and other fields.
With the explosive growth of data, the classical clustering algorithms cannot meet the requirements of clustering for big data.
Spark is one of the most popular parallel processing platforms for big data, and many researchers have proposed many parallel clustering algorithms based on Spark.
In this paper, the existing parallel clustering algorithms based on Spark are classified and summarized, the parallel design framework of each kind of algorithms is discussed, and after comparing different kinds of algorithms, the direction of the future research is discussed.
American Psychological Association (APA)
Xiao, Wen& Hu, Juan. 2020. A Survey of Parallel Clustering Algorithms Based on Spark. Scientific Programming،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209301
Modern Language Association (MLA)
Xiao, Wen& Hu, Juan. A Survey of Parallel Clustering Algorithms Based on Spark. Scientific Programming No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1209301
American Medical Association (AMA)
Xiao, Wen& Hu, Juan. A Survey of Parallel Clustering Algorithms Based on Spark. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209301
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209301