k Nearest Neigbors in Java Applet - Remastered Edition

Android ve IOS Ortamlarında Yaprak Tanıma Sistemi

Uma implementação simples do algorítimo de classificação K - Nearest Neighbor (K-NN).

Some basic classification methods (Naive Bayes, Decision Trees, Nearest Neighbour, Perceptrons) implemented from scratch in Java

Data Mining Algorithms and Implementation of libraries.

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

Cow Disease Prediction Library Using K-Nearest Neighbors Algorithm

Java implementation of K Nearest Neighbors algorithm. Should work for any CSV datasets with the class specified as the last value. If it doesn't, though - you're welcome to fix this anytime!

this code provides a solid foundation for understanding the KNN algorithm and applying it to classification problems in Java

🖥️ This broad implementation of the KNN (k-nearest neighbors) algorithm was done on Java and Python

KNN algorithm implemented with Linked Lists.

Predicting leaf using the K Nearest Neighbour algorithm using the Iris dataset.

Tugas besar Artificial Intelligence (Fantastic Four)

kNN-MIN: A Spark-based design of the k-Neighbors Neighbors classifier for big data, using minimal resources and minimal code.

software gives suggest for student choose an university

This repository contains the exercises I completed in the course of Artificial Intelligence Fundamentals. It covers topics such as agents, min and max, depth and breadth-first search, KNN, K-means, decision trees, and Prolog statements.