TILS646 Clustering, Classification and Regression Methods (4–5 cr)

The course gives an overview of clustering and classification methods as well as how to validate the results. Also non-linear regression methods for numeric responses are covered briefly.

The course covers key data grouping methods and the validation of related results, key classification methods and validation of their results, and, if time permits, few non-linear regression methods for continuous responses. The course focuses on data analysis.

A student who has successfully completed the course:

• can distinguish between clustering and classification methods

• is familiar with several of clustering and classification methods,

• can evaluate the performance of these methods,

• is familiar with basic concepts of non-linear regression,

• can apply the methods to real data and interpret and report the results.

Statistical inference 1 and 2, Generalized linear models 1 and 2, Multivariate methods, basics of R software.