DV

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About:

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This application displays n-Dimensional data in 2D using GLC-L coordinates. For better class separation, linear discriminant analysis is used to get the optimal angles and threshold for a visualization. Adjustments to the angles and threshold can be done by using the related slider. Graphs produced by this program can be panned, zoomed in/out, and scaled. Graph order can be rearranged. Analytics generated by this program include the "All Data," "Data Without Overlap," "Overlap Data," and "Worst Case," confusion matrices as well as k-fold cross validation.

Please refer to the user manual for specifics on any of the information above.

Dataset Information:

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• Dataset must be in .csv format
• Dataset must include a header row
• If there is an ID column, it must be first
• If there is a class column it must be last
• Dataset features besides "class" must be numeric

Example Dataset:

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Requirements:

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Java 17 - download
Windows

Install and Run:

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1. Clone repository and open in explorer
2. Open "run" directory
3. Unzip DV.zip
4. Run "DV.exe"
5. Follow instructions in "Run Instructions" for additional help

Build and Run from Source:

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1. Clone repository and open as project in Intellij IDE
2. Build project
3. Run

Dataset Links:

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Iris dataset
Breast Cancer Wisconsin (Original) dataset

Visualizations:

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Iris dataset Iris-setosa (upper graph) vs Iris-versicolor and Iris-virginica (lower graph)

Breast Cancer Wisconsin benign (upper graph) vs malignant (lower graph)