The Often-Overlooked Power of Summary Statistics in Exploratory Data Analysis: Comparison of Pattern Recognition Entropy (PRE) to Other Summary Statistics and Introduction of Divided Spectrum-PRE (DS-PRE)-Reference-Cited by-同舟云学术

The Often-Overlooked Power of Summary Statistics in Exploratory Data Analysis: Comparison of Pattern Recognition Entropy (PRE) to Other Summary Statistics and Introduction of Divided Spectrum-PRE (DS-PRE)

Published:2021-09-09 Issue:9 Volume:61 Page:4173-4189
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Avval Tahereh G.¹,Moeini Behnam¹,Carver Victoria¹,Fairley Neal²,Smith Emily F.³,Baltrusaitis Jonas⁴^ORCID,Fernandez Vincent⁵,Tyler Bonnie. J.⁶,Gallagher Neal⁷,Linford Matthew R.¹^ORCID

Affiliation:

1. Department of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, Utah 84602, United States

2. Casa Software Ltd., Bay House, 5 Grosvenor Terrace, Teignmouth, Devon TQ14 8NE, U.K.

3. Nanoscale and Microscale Research Centre (NMRC) and School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K.

4. Department of Chemical and Biomolecular Engineering, Lehigh University, B336 Iacocca Hall, 111 Research Drive, Bethlehem, Pennsylvania 18015, United States

5. Institut des Matériaux Jean Rouxel, IMN, Université de Nantes, CNRS, F-44000 Nantes, France

6. Institut für Physik, Westfälische Wilhelms-Universität, 48149 Münster, Germany

7. Eigenvector Research, Inc., Manson, Washington 98831, United States

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c00244

Reference65 articles.

1. Unsupervised data reduction

2. Dimensionality reduction for visualizing industrial chemical process data