Comprehensive Chemometrics
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129
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Published By Elsevier

9780444641663
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Model-Based Clustering

2020 ◽  
pp. 509-529
Author(s):  
G.J. McLachlan ◽  
S.I. Rathnayake ◽  
S.X. Lee
Keyword(s):  
Model Based Clustering ◽  
Model Based

Chemoinformatics

2020 ◽  
pp. 635-676
Author(s):  
J. Polanski

Missing Data

2020 ◽  
pp. 615-639 ◽  
Author(s):  
F. Arteaga ◽  
A. Folch-Fortuny ◽  
A. Ferrer
Keyword(s):  
Missing Data

Deep Learning Theoretical Chapter for Chemometrician

2020 ◽  
pp. 723-739
Author(s):  
Robert van Vorstenbosch ◽  
Agnieszka Smolinska ◽  
Lionel Blanchet
Keyword(s):  
Deep Learning

Multi Way Classification

2020 ◽  
pp. 701-721
Author(s):  
Marina Cocchi ◽  
Mario Li Vigni ◽  
Caterina Durante

Chemometrics Analysis of Big Data

2020 ◽  
pp. 437-458
Author(s):  
José Camacho ◽  
Edoardo Saccenti
Keyword(s):  
Big Data

Figures of Merit

2020 ◽  
pp. 441-463
Author(s):  
Franco Allegrini ◽  
Alejandro C. Olivieri
Keyword(s):  
Figures Of Merit

Random Forest and Ensemble Methods

2020 ◽  
pp. 661-672
Author(s):  
George Stavropoulos ◽  
Robert van Voorstenbosch ◽  
Frederik-Jan van Schooten ◽  
Agnieszka Smolinska
Keyword(s):  
Random Forest ◽  
Ensemble Methods
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