Statistical Machine Intelligence & Learning Engine
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Updated
Oct 1, 2026 - Java
Statistical Machine Intelligence & Learning Engine
A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.
PH-Tree
java native interface for faiss
Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...
GraphLab is an application that shows visually how several graph algorithms work
Ebay-like website for a college project
Small Java library to find the nearest neighbour of a k-dimensional set of points using an efficient k-d tree.
Closy is a library that provides fast and generic solutions for nearest neighbor search (NNS)
An efficient Nearest Neighbor Classifier for the MINST dataset. It uses a VP Tree data structure for preprocessing, thus improving query time complexity
Fast Heuristics for Heterogeneous Vehicle Routing Problem with Simultaneous Pickup and Delivery
Java WSDL-based SOAP web service with Springboot (Spring-WS, Contract first) and nearest neighbor search
Create a symbol table data type whose keys are two-dimensional points. Use a 2d-tree to support efficient range search and nearest neighbor search.
Senior-Design-Project Multidepot Capacitated Vehicle Routing Web App
An Android library in Java for solving the Capacitated Vehicle Routing Problem (CVRP). Features include nearest neighbor algorithm for route optimization and efficient storage of distance matrices. Simplify CVRP implementation and enhance routing efficiency with DSM Solver.
This is the third project for the course Data Structures at AUEB for the year 2019-2020.
Java implementation of an approximate nearest-neighbor search via space-filling curves
This is a java application to find the nearest neighboring document using cosine similarity and euclidean distance
Comparative Analysis of Solutions to the NP-hard Problem: Travelling Salesman Problem.
Java project using a KD-Tree in CIE LAB color space to efficiently find the nearest color match from a CSV dataset.
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