The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2013
Session ID : J013022
Conference information
J013022 Reduction of particle tracking data using some clustering methods
Susumu SHIRAYAMA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
Most studies about the state of the arts of visualization techniques will focus on the processing of the huge amount of data. In such studies, the treatment of particle tracking data has been an issue. In this paper, we attempt to reduce the amount of data using several clustering methods.
Content from these authors
© 2013 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top