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knn-algorithm

Here are 604 public repositories matching this topic...

qdrant

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

  • UpdatedJan 9, 2025
  • MATLAB

Efficient approximate k-nearest neighbors graph construction and search in Julia

  • UpdatedMay 16, 2023
  • Julia

Implementation of KNN algorithm in Python 3

  • UpdatedOct 1, 2020
  • Python

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

  • UpdatedJul 29, 2021
  • PHP

Train, evaluate, and optimize implicit feedback-based recommender systems.

  • UpdatedJun 3, 2023
  • Python
ElasticSearch_Python_Course

This repository is part of a course on ElasticSearch in Python. It includes notebooks that demonstrate its usage, along with a YouTube series to guide you through the material.

  • UpdatedJan 12, 2025
  • Jupyter Notebook

This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."

  • UpdatedSep 13, 2023
  • Jupyter Notebook

A look-alike model to identify potential clients based on certain characteristics from the existing customer base.

  • UpdatedDec 8, 2022
  • Python
ml-newbie

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