Now showing items 1-5 of 5
The identification and application of common principal components
(Stellenbosch : Stellenbosch University, 2014-12)
ENGLISH ABSTRACT: When estimating the covariance matrices of two or more populations, the covariance matrices are often assumed to be either equal or completely unrelated. The common principal components (CPC) model ...
Binary classification trees : a comparison with popular classification methods in statistics using different software
(Stellenbosch : Stellenbosch University, 2002-12)
ENGLISH ABSTRACT: Consider a data set with a categorical response variable and a set of explanatory variables. The response variable can have two or more categories and the explanatory variables can be numerical or ...
Aspects of multi-class nearest hypersphere classification
(Stellenbosch : Stellenbosch University, 2017-12)
ENGLISH SUMMARY : Using hyperspheres in the analysis of multivariate data is not a common practice in Statistics. However, hyperspheres have some interesting properties which are useful for data analysis in the following ...
Statistical classification in high-dimensional scenarios with a focus on microarray data sets
ENGLISH SUMMARY : High-dimensional data analysis characterises many contemporary problems in statistics and arise in many application areas. This thesis focuses on very high-dimensional problems in which the input predictor ...
Preconditioning for feature selection in classification
(Stellenbosch : Stellenbosch University, 2019-04)
ENGLISH SUMMARY : Increased dimensionality of data is a clear trend that has been observed over the past few decades. However, analysing high-dimensional data in order to predict an outcome can be problematic. In certain ...