Improved K-means clustering algorithm for big data mining under Hadoop parallel framework
W Lu - Journal of Grid Computing, 2020 - Springer
In order to improve the accuracy and efficiency of the clustering mining algorithm, this paper
focuses on the clustering mining algorithm for large data. Firstly, the traditional clustering …
focuses on the clustering mining algorithm for large data. Firstly, the traditional clustering …
MapReduce-based k-prototypes clustering method for big data
MABH Kacem, CEB N'cir… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Big data clustering is one of the recently challenging tasks that is used in many application
domains. Traditional clustering methods are not able to deal with large-scale of data …
domains. Traditional clustering methods are not able to deal with large-scale of data …
Static and incremental overlapping clustering algorithms for large collections processing in GPU
Lázaro Janier González-Soler, Airel Pérez-Suárez and Leonardo Chang Advanced
Technologies Application Center (CENATAV) 7ma A# 21406, Playa, CP: 12200, Havana …
Technologies Application Center (CENATAV) 7ma A# 21406, Playa, CP: 12200, Havana …