JVector: the most advanced embedded vector search engine
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Updated
Jul 9, 2024 - Java
JVector: the most advanced embedded vector search engine
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
This project implements the K-Nearest Neighbors (KNN) algorithm for classification purposes. KNN is a simple and effective algorithm for classifying data points based on their similarity to other data points in a given dataset.
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.
Time Series with Matrix Profile in Java
Dossier sur le machine learning dans le cadre de R5.A.12
Deteksi Ikan Nila dan Mujair Menggunakan Klasifikasi K-NN dan Ekstraksi Fitur Hu's Moment Invariants Dengan Pola Deteksi Tepi Canny
k Nearest Neigbors in Java Applet - Remastered Edition
Deteksi Kelayakan Gula Berdasarkan Citra Warna
SUTD 50.003 ESC Indoor Tracking Project with UnaBiz
this code provides a solid foundation for understanding the KNN algorithm and applying it to classification problems in Java
this project provide the implementation of the knn (k-nearest neighbors) algorithm and a test on iris dataset
Movie Recommendation System
Implementação em java do algoritmo KNN para classificação, combinado ao k-fold para validação cruzada.
Resources complimenting additional practice hours for the course "Knowledge-Based Systems" taught in FMI.
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