Nearest Neighbor Algorithm for Pattern Recognition Problems with MATLAB Implementation
MATLAB implementation of the nearest neighbor algorithm for pattern recognition, featuring clear code examples and practical explanations
MATLAB Implementation of Nearest Neighbor Algorithm for Pattern Recognition Problems
MATLAB implementation of nearest neighbor algorithm for pattern recognition, capable of simulating the core functionality of the nearest neighbor method. This well-structured code provides a practical approach to understanding and applying nearest neighbor classification techniques with clear implementation details.
Feature Selection Using Branch-and-Bound Method
In pattern recognition applications, this MATLAB implementation demonstrates feature selection using the branch-and-bound algorithm, specifically selecting two optimal features from a pool of six features with efficient search space pruning.
MATLAB Implementation of Fisher Discriminant Analysis
Fisher Discriminant Analysis for Pattern Recognition - Fisher Linear Discriminant Implementation with MATLAB Code Examples
A Simple Introduction to Rough Set Theory
A beginner's guide to rough set theory with applications in pattern recognition and attribute reduction.
PCA Dimensionality Reduction Input Data and Options
PCA dimensionality reduction implementation for pattern recognition, focusing on input data structure and parameter configuration. The data parameter accepts a matrix where each row represents a sample, while the option parameter specifies the target dimensionality for reduction.
Pattern Recognition ~ HAUSDORFF Distance
An extremely valuable resource for pattern recognition practitioners! HAUSDORFF distance with implementation insights and algorithmic explanations.
Pattern Recognition Classification Using Minimum Euclidean Distance
Minimum Euclidean distance-based pattern recognition classification method offers straightforward and intuitive implementation for classification tasks.
Neural Network Support Vector Machine Algorithm
Neural Network Support Vector Machine program for pattern recognition and stock index prediction, implementing hybrid ML approaches with computational efficiency
Successful Classification of Iris Dataset
My pattern recognition assignment featuring successful iris dataset classification using machine learning algorithms