Design and Implementation of an Efficient Parallel Feel-the-Way Clustering Algorithm on High Performance Computing Systems

Authors

Weijian Zheng, Indiana University - Purdue University, IndianapolisFollow
Fengguang Song, Indiana University Purdue University IndianapolisFollow
Dali Wang, Oak Ridge National LaboratoryFollow

Keywords

HPC, Machine Learning, Parallel Algorithms

Tech Report Number

18-002

Date of this Version

2018

Recommended Citation

Zheng, Weijian; Song, Fengguang; and Wang, Dali, "Design and Implementation of an Efficient Parallel Feel-the-Way Clustering Algorithm on High Performance Computing Systems" (2018). Department of Computer Science Technical Reports. Paper 1782.
https://docs.lib.purdue.edu/cstech/1782