JVector: the most advanced embedded vector search engine
-
Updated
Jun 13, 2025 - Java
8000
JVector: the most advanced embedded vector search engine
Software for the experiments reported in the RecSys 2019 paper "A Simple Multi-Armed Nearest-Neighbor Bandit for Interactive Recommendation"
Java Implementation of the R* Tree
Data structures, algorithms and tools for rough sets, machine learning and data mining, including algorithms for discernibility matrix, reducts, decision rules, classification (KNN, NeuralNet, AQ15, RoughSet, RIONIDA, SVM, C4.5, and many others), discretization (1R, EntropyMinimization, ChiMerge, MD), and tool for explainable and interactive ML.
Traffic Congestion Prediction System using Data Mining
Just a simple implementation of K-Nearest Neighbour algorithm.
A Java implementation of the k-nearest neighbors algorithm
A Java console application that implements the factionality of the knn algorithm to find the similarity between a new user with only a few non zero ratings of some locations, find the k nearest neighbors through similarity score and then predict the ratings of the new user for the non rated locations.
Recommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.
kNN implementation in Java for an assignment for study unit ICS2207.
A Recruitment bot that uses K-Nearest Neighbors Algorithm to determine whether you should hire the applicant or not
Time Series with Matrix Profile in Java
Solving tasks given by PJWSTK and own projects based on artificial intelligence.
SUTD 50.003 ESC Indoor Tracking Project with UnaBiz
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.
this project provide the implementation of the knn (k-nearest neighbors) algorithm and a test on iris dataset
KNN algorithm implemented with Linked Lists.
Techniques for data mining.
Add a description, image, and links to the knn topic page so that developers can more easily learn about it.
To associate your repository with the knn topic, visit your repo's landing page and select "manage topics."