For CS Masters Program at CWU
About: This application displays multi-dimensional data in 2D. This program will visualize up to ten classes (for now) --Dataset Information: Dataset must be in .txt or .csv format (always) Dataset must include headers (always) Dataset should only include class and feature columns (for now?) Dataset class header must be labeled as "class" without quotations (for now) Dataset features besides "class" must be in numeric representation (for now) --Example dataset: length,width,height,class 2.7,3.5,3.2,dog 1.2,5.5,2.1,cat 2.5,4.1,1.6,dog --Language Used: Python 3.9 --Required Packages: *version number can be different if classes and functions are present PyOpenGL 3.1.5 PyQt5 5.15.6 numpy 1.21.4 pandas 1.3.4 scikit-learn 1.0.1 --Not Required but the .UI file for PyQt5 was designed with: QTDesigner --Dataset Links: Iris dataset - https://archive.ics.uci.edu/ml/datasets/iris Breast Cancer Wisconsin (Original) dataset - https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28original%29