… state of multivariate statistical analysis in an … feature of this book is the novel data sets that
are used as examples to illustrate the techniques. I have included as much statistical theory as …

… In this paper we perform breast cancer analysis based on thermography, using a series
of statistical features extracted from the thermograms … Breast thermogram feature analysis …

… to those interested in statistical applications.... [The] approach needed for statistical applications
is provided here quite well requiring only basics of statistical theory and familiarity with …

… on information theory statistical … , this analysis is performed under a statistical framework,
where we can take advantage of well-known results in probability theory and information theory. …

… We will see that statistical methods of data analysis play an important role in this area. The
purpose behind most physical and chemical measurements is to characterize a particular …

… Statistic for each feature, we sort these values in descending order in order to select the
important the feature… Selection), a novel statistical approach of feature selection and ranking has …

… problems in cluster analysis are … analysis, statistics, cluster analysis, and computer
implementation are integrated vertically to cover the complete path from raw data to a finished …

… Division of Research and Statistics, Federal Reserve Board, … statistical tests for the hypothesis
that some feature that is present in each of several variables is common to them. Features …

… and analysis problem, where existing concepts and methods in statistical theory and information
theory can … Secondly, visual pattern analysis also proves to be a highly specialized data …

… One of the major reasons why traditional statistical theories are not suitable for our purpose
is their rather narrowly defined framework of viewing statistical estimation as inferring a …