Ontology highlight
ABSTRACT:
SUBMITTER: Kusne AG
PROVIDER: S-EPMC4163667 | biostudies-literature | 2014 Sep
REPOSITORIES: biostudies-literature
Kusne Aaron Gilad AG Gao Tieren T Mehta Apurva A Ke Liqin L Nguyen Manh Cuong MC Ho Kai-Ming KM Antropov Vladimir V Wang Cai-Zhuang CZ Kramer Matthew J MJ Long Christian C Takeuchi Ichiro I
Scientific reports 20140915
Advanced materials characterization techniques with ever-growing data acquisition speed and storage capabilities represent a challenge in modern materials science, and new procedures to quickly assess and analyze the data are needed. Machine learning approaches are effective in reducing the complexity of data and rapidly homing in on the underlying trend in multi-dimensional data. Here, we show that by employing an algorithm called the mean shift theory to a large amount of diffraction data in h ...[more]