Department of Electrical & Computer Engineering 

Interactive system for exploratory data analysis

16. M.Aladjem, (1991) "PNM: A program for parametric and nonparametric mapping of multidimensional data", Computers in Biology and Medicine, vol.21, No 5, 321-343.
In [16] we presented a program named PNM which implements our projection methods (proposed in [15]). The control of PNM is carried out interactively. After a trial with PNM, the user analyzes the projection results (error rates, class-histograms, scatter plots) and, directed by them, chooses the type of projection (parametric or non-parametric) and the type of constraints for the discriminant vectors (ORTH or FREE) and defines the values of control parameters for a new trial. The control of the PNM is easily carried out by the use of instructions. The definitions and examples of the control instructions are described at length in the paper. In order to illustrate how the PNM-program can be used we describe an interactive classifier design concerning differential diagnoses of the cerebrovascular accident (CVA). In this application, the data set contains pathologo-anatomically verified CVA-cases with hemorrhages (91 cases) and infarction due to ischemia (122 cases). The best class-separation was achieved by the projection obtained by optimization of our non-parametric discriminant criterion, which was a consequence of the complicated structure of the CVA data.

More Synopsis of Research

Novel discriminant criteria

Interactive system for exploratory data analysis

Method for estimating the significance of the control parameters of projection procedures

Multiclass discriminant projections

New methods for successive optimization of the discriminant criteria

Comparative study of neural networks for multivariate data projection

Discriminant analysis via neural network reduction of the class separation

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