Research on large data set clustering method based on MapReduce

[1]  Nadia Essoussi,et al.  One-pass MapReduce-based clustering method for mixed large scale data , 2019, Journal of Intelligent Information Systems.

[2]  Tongke Fan,et al.  Research and implementation of user clustering based on MapReduce in multimedia big data , 2018, Multimedia Tools and Applications.

[3]  Yasmine Lamari,et al.  Clustering categorical data based on the relational analysis approach and MapReduce , 2017, Journal of Big Data.

[4]  Bing Li,et al.  Salient Object Detection via Structured Matrix Decomposition. , 2017, IEEE transactions on pattern analysis and machine intelligence.

[5]  Dongyan Chen,et al.  Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays , 2015 .

[6]  Yantao Li,et al.  An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division , 2015 .

[7]  N. K. Nagwani,et al.  Summarizing large text collection using topic modeling and clustering based on MapReduce framework , 2015, Journal of Big Data.

[8]  Francisco Herrera,et al.  A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules , 2015, Int. J. Comput. Intell. Syst..

[9]  Q. Zhang,et al.  A Big Graph Clustering Algorithm Based on MapReduce , 2014 .

[10]  Geoffrey C. Fox,et al.  A parallel clustering method combined information bottleneck theory and centroid-based clustering , 2014, The Journal of Supercomputing.

[11]  Younghoon Kim,et al.  DBCURE-MR: An efficient density-based clustering algorithm for large data using MapReduce , 2014, Inf. Syst..

[12]  Srikanta Tirthapura,et al.  Enumerating Maximal Bicliques from a Large Graph Using MapReduce , 2017, IEEE Transactions on Services Computing.

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