4 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
Method for the calculation of the Hamaker constants of organic materials by the Lifshitz macroscopic approach with DFT
Hideyuki Takagishi, Takashi Masuda, Tatsuya Shimoda +2
The Hamaker constants, which are coefficients providing quantitative information on intermolecular forces, were calculated for a number of different materials according to the Lifs…
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…