Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Cluster analysis continued problem

The methods of data analysis depend on the nature of the final output. If the problem is one of classification, a number of multivariate classifiers are available such as those based on principal components analysis (SIMCA), cluster analysis and discriminant analysis, or non-linear artificial neural networks. If the required output is a continuous variable, such as a concentration, then partial least squares regression or principal component regression are often used [20]. [Pg.136]

See other pages where Cluster analysis continued problem is mentioned: [Pg.870]    [Pg.168]    [Pg.279]    [Pg.2479]    [Pg.459]    [Pg.406]    [Pg.251]    [Pg.274]    [Pg.31]    [Pg.735]    [Pg.379]    [Pg.255]    [Pg.748]    [Pg.251]    [Pg.2]    [Pg.381]    [Pg.340]    [Pg.411]    [Pg.51]    [Pg.264]    [Pg.242]    [Pg.659]    [Pg.234]    [Pg.395]    [Pg.195]   


SEARCH



Analysis, problems

Cluster analysis

Cluster analysis (continued

Clustering) analysis

Continuous Analysis

© 2024 chempedia.info