Prof. Dr. Sc. LAVOSLAV \u010cAKLOVI\u0106
Department of Mathematics, Faculty of Science, University of Zagreb<\/p>\n\n\n\n
Wednesday, February 15, 2012 at 3:30 p.m.<\/p>\n\n\n\n
Lecture Hall, Wing I, Ru\u0111er Bo\u0161kovi\u0107 Institute, Bijeni\u010dka 54, Zagreb<\/p>\n\n\n\n
Multivariate methods used in statistical analysis will be presented, which are becoming more and more interesting in the context of 'data mining', modeling dependencies between variables (especially categorical) and extracting informational features necessary for object recognition, among which:
\u2010 Principal Component Analysis (PCA)
\u2010 Correspondence Analysis (simple (CA) and canonical (CCA))
- Valuation methods (with an emphasis on the potential method)<\/p>\n\n\n\n
The common characteristic of the above methods is the ordering of a set of objects on a selected scale. Depending on the type and quality of the input information, one is decided upon.
(or more) than data analysis methods. The scale additionally serves to calculate the measure of similarity between objects and their categorization\/clustering. The methods are illustrated using examples from everyday practice with an emphasis on diagnostics in medicine.<\/p>\n\n\n\n
All calculations and analyzes were carried out with the help of the statistical package R and Mathematica.<\/p>\n\n\n\n