TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

AntonisZks/Vamana-Indexing-Algorithm

Για την κατασκευή των εκτελέσιμων αρχείων παρέχονται διάφορες εντολές που εξασφαλίζουν τη μεταγλώττιση της κύριας εφαρμογής, των unit tests, καθώς και συνδιασμό τους: Για την μεταγλώττιση της ...
IEEE

An adaptive k-nearest neighbor algorithm

Abstract: An adaptive k-nearest neighbor algorithm (AdaNN) is brought forward in this paper to overcome the limitation of the traditional k-nearest neighbor algorithm (kNN) which usually identifies ...
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) ...
IEEE

The Novel k Nearest Neighbor Algorithm

Abstract: In the field of Text Classification/Categorization, the k Nearest Neighbor algorithm (kNN) has been to date one of the oldest and most popular methods. It ...