This paper analyses and reports various types of published works related to classification or
discriminant modelling. This paper adopted a bibliometric analysis based on the data …

Location Model is a classification approach that capable to deal with mixed binary and
continuous variables at once. The binary variables create segmentation in the groups called …

The location model is a familiar basis and excellent tool for discriminant analysis of mixtures
of categorical and continuous variables compared to other existing discrimination methods …

This paper aims to address the challenges posed by the simultaneous occurrence of
numerous empty and many non-empty cells in the Location Model (LM). The LM is a …

Classification is one of the most popular approaches that had been used in a variety of
fields. There are a lot of classification methods that are applicable to classify objects into …

The basic objective of human development is to create an enabling environment for people
to live long, healthy and creative lives and it is composite statistic of the life expectancy …

The strategy surrounding the extraction of a number of mixed variables is examined in this
paper in building a model for Linear Discriminant Analysis (LDA). Two methods for …

Discriminant analysis is a statistical technique that tried to predict on the bases of one or
more independent variables. Whether an individual or other objects can be placed into a …

The natural outstanding of location model is as an excellent tool for mixed variables
classification among other existing approaches such as Kernel-based non-parametric …