Frontiers

Density peak clustering algorithm based on weighted mutual K-nearest neighbors

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...
Frontiers

A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy ...

1 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India 2 P.G. Department of Computer Science, Government Arts and Science College, Madurai, Tamil Nadu, India ...
The New York Times

The Co-op Said the Apartment Was Quiet. But My Neighbors Are So Loud!

When you realize that your apartment has a problem that no one disclosed, who gets the blame? By Jill Terreri Ramos Q: I recently bought a co-op in Manhattan. During the due-diligence process before ...
来自MSN

Build K-Nearest Neighbors from Scratch in Python

No libraries, no shortcuts—understand the core of KNN by building it step by step using just Python. GOP Calls for Investigation into Federal Card Charges How much cash to keep in your checking ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
GitHub

knearest-neighbor-algorithm

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...
GitHub

MRPT - fast nearest neighbor search with random projection

MRPT - fast nearest neighbor search with random projection MRPT is a lightweight and easy-to-use library for approximate nearest neighbor search. It is written in C++11 and has Python bindings. The ...