Applied Statistics - Week 6

The following chapters (including exercises in the book!) and computer exercises are considered read, understood, and solved by the end of the week.

Lectures:

Multivariate Analysis - part I

Multivariate Analysis - part II

Reading:

Wikipedia: Pattern Recognition

Wikipedia: Linear discriminant analysis (Fisher discriminant)

Computer exercises:

Fisher Discriminant - 2 variable example: 2par_discriminant.py

Fisher Discriminant - Anderson's 4 Iris types: fisher_discriminant_partsolution.py
      Datafiles: DataSet_AndersonFisherIris.txt

Neural Network/Boosted Decision tree: calc_separation_partsolution.py and train_discriminant.py
      Datafiles: iris_data_set.root, south_african_heart_disease.root, Higgs14TeV.root and ZZ14TeV.root.


Comments:
This is your chance to get knowledgable about multivariate analysis, so try these examples, and get a feel for, what is possible, and where to be careful.

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Last updated: 11th of October 2013.