Nearest Neighbor and K-Neighbor Classifier
A MATLAB implementation of Nearest Neighbor and K-Nearest Neighbors classifiers with clear code structure, ideal for beginners learning machine learning algorithms
Nearest Neighbor Track Association Algorithm
Nearest Neighbor Track Association Algorithm for target tracking, featuring a comprehensive demonstration program that simulates the complete tracking workflow including data association, state prediction, and measurement updates.
Implementation of Text Classification Using K-Nearest Neighbors (KNN), Naive Bayes (NB), and Support Vector Machine (SVM) Algorithms
This assignment implements text classification using K-Nearest Neighbors (KNN), Naive Bayes (NB), and Support Vector Machine (SVM) algorithms, complete with datasets and a detailed experimental report covering implementation methodologies, performance analysis, and comparative evaluation of each approach.
Common Classification Methods in Machine Learning
Overview of frequently used classification algorithms including Nearest Neighbor (NN), K-Means clustering, K-Nearest Neighbors (KNN), and Fisher's Linear Discriminant analysis with implementation insights.
Nearest Neighbor and K-Nearest Neighbors with K=1
K-Nearest Neighbors algorithm implementation with k=1 (nearest neighbor) in MATLAB environment, including code examples and practical demonstrations for machine learning applications.
KNN - K-Nearest Neighbors Classification Algorithm
K-Nearest Neighbors (KNN) Algorithm Implementation and Technical Overview
MATLAB Implementation of KNN Algorithm with Code Examples
Complete MATLAB implementation guide for K-nearest neighbors (KNN) algorithm covering data preparation, distance calculation, parameter selection, voting mechanism, and performance evaluation with practical code snippets.