Explore MATLAB source code curated for "UCI" with clean implementations, documentation, and examples.
A MATLAB-based handwritten digit recognition program utilizing minimum Euclidean distance classification. The dataset is sourced from UCI Machine Learning Repository, featuring comprehensive performance evaluation metrics including accuracy, recall, and F1-score calculations with code implementation insights.
Pattern Classification Using Momentum BP Learning Algorithm - This implementation applies the momentum backpropagation algorithm for classifying the classic UCI Iris dataset, achieving fast processing speed and high accuracy. The iris.arff file is the original dataset file that can be opened using Weka data mining software. Iris.csv is the data file converted through Weka software for source code reading. To execute the algorithm, simply place the source file Iris_classify.m and Iris.csv in MATLAB's work directory and run directly.