A Robust Distributed Big Data Clustering-based on Adaptive Density Partitioning using Apache Spark

A Robust Distributed Big Data Clustering-based on Adaptive Density Partitioning using Apache Spark

Unsupervised machine learning and knowledge discovery from large-scale datasets have recently attracted a lot of research interest. The present paper proposes a distributed big data clustering approach-based on adaptive density estimation. The proposed method is developed-based on Apache Spark frame...

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Bibliographic Details
Main Authors: Behrooz Hosseini, Kourosh Kiani
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Symmetry
Subjects:
distributed data clustering
big data
density-based clustering
density peak detection
gene expression
apache spark
Bayesian locality sensitive hashing
ordered weighted averaging
micro array
scalable clustering
Online Access:http://www.mdpi.com/2073-8994/10/8/342

Internet

http://www.mdpi.com/2073-8994/10/8/342

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