DiskANN is a suite of scalable, accurate, cost-effective approximate nearest neighbor (ANN) search algorithms for large-scale vector search. It uses a graph-based index (Vamana) to manage very large ...

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...

Abstract: Aiming at the problem that the recognition rate of the K-Nearest Neighbor (KNN) algorithm is not high in the face of similar power fingerprints in non-intrusive load recognition, an improved ...