A Performance Comparison of Big Data Processing Platform Based on Parallel Clustering Algorithms

The performance of three typical big data processing platform: Hadoop, Spark and DataMPI are compared based on different parallel clustering algorithms: parallel K-means, parallel fuzzy K-means and parallel Canopy. Experiments are performed on different text as well as numeric dataset and clusters o...

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Vydané v:	Procedia computer science Ročník 139; s. 127 - 135
Hlavní autori:	Hai, Mo, Zhang, Yuejing, Li, Haifeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2018
Predmet:	Canopy DataMPI fuzzy K-means Hadoop K-means Spark K-means DataMPI Spark fuzzy K-means Hadoop Canopy
ISSN:	1877-0509, 1877-0509
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