Parallel Spectral Clustering Algorithm Based on Hadoop
Distributed, Parallel, and Cluster Computing
2015-06-02 v1 Data Structures and Algorithms
Machine Learning
Abstract
Spectral clustering and cloud computing is emerging branch of computer science or related discipline. It overcome the shortcomings of some traditional clustering algorithm and guarantee the convergence to the optimal solution, thus have to the widespread attention. This article first introduced the parallel spectral clustering algorithm research background and significance, and then to Hadoop the cloud computing Framework has carried on the detailed introduction, then has carried on the related to spectral clustering is introduced, then introduces the spectral clustering arithmetic Method of parallel and relevant steps, finally made the related experiments, and the experiment are summarized.
Cite
@article{arxiv.1506.00227,
title = {Parallel Spectral Clustering Algorithm Based on Hadoop},
author = {Yajun Cui and Yang Zhao and Kafei Xiao and Chenglong Zhang and Lei Wang},
journal= {arXiv preprint arXiv:1506.00227},
year = {2015}
}