Showing physics.comp-phShow all
2 papers · 1 filter
physics.comp-ph2019
Stochastic estimations of a total number of classes for the clusterings with too enormous samples to be accommodate into a clustering engine
Keishu Utimula, Genki I. Prayogo, Kousuke Nakano +2
We considered the problem how to handle the exploding number of possibilities to be sorted into irreducible classes by using a clustering tool when its input capacity cannot accomm…
physics.comp-ph2018
Machine learning clustering technique applied to powder X-ray diffraction patterns to distinguish alloy substitutions
Keishu Utimula, Rutchapon Hunkao, Masao Yano +5
We applied the clustering technique using DTW (dynamic time wrapping) analysis to XRD (X-ray diffraction) spectrum patterns in order to identify the microscopic structures of subst…