Goodman-Kruskal Gamme is a calculation used for ordered or discrete data. It is used to determine whether pairs of calculations match given the p-value calculated. Once you have the Gamma, the closer to 1 it is, the more likely the pair is related. The Gamma coefficient tells you how ...
First, irrelevant and inconsistent data were handled by applying Boruta Wrapper algorithm. Using this algorithm, unbiased feature selection was ensured. Followed by which five different supervised machine learning algorithms were applied to the selected attributes to perform binary classification. Thus, ...
Feature selection algorithm usually uses heuristic in order to avoid confusion. The main aim of the paper is to introduce a face recognition system that is computationally less expensive, and only the information related to facial features is used. For this DWT- and WLD-based techniques are used...
The use of the multivariate normal distribution as a latent construct for modelling observed correlated or associated discrete or ordinal variables can be dated back to the seminal book by Lazarsfeld and Henry (1968) and to the later work by Muthen (1983), in the context of structural equation ...