Spark algorithms for building k-nn graphs
Algorithms that build k-nearest neighbors graph (k-nn graph): Brute-force, NN-Descent,...
Fast k-NN graph construction for slow metrics
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
翻译 - 非度量空间库（NMSLIB）：高效的相似性搜索库和用于评估通用非度量空间的k-NN方法的工具包。
Implementation of Efficient K-NN Graph Construction Algorithm NN-Descent in C++
R package for gene selection using k-NN graphs.
Graph-based SSL for text categorization without building k-NN graphs
Source code of CIKM 2021 paper: Fast k-NN Graph Construction by GPU based NN-Descent.
Experimenting with Optimal Transport over kNN graphs vs. partitioned k-of-K NN graphs
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Adaptive Modulation using k-NN classification for OFDM system
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN
Extract color palette from an image with k-means and k-NN // Project for the AI/ML class at Hanyang University
Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN
Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
A k-NN based non-parametric non-linear non-stationary time series predictor
一款基于K-NN算法的简易WiFi定位系统SDK
CMSIS-NN Library
Graph Computation for nn
Papers for Bayesian-NN
k nearest neighbor (KNN) graphs via Pearson correlation distance and local sensitive hashing (LSH).
deep extensions to nn
情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。
