Building a Learning Vector Quantization 1 (LVQ1) network

simple demonstration of NB and LVQ classification

Natural Language Processing with node js

Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest

Depression Calculator as a Final Project for Datamining Subject in the College

Model for water quality classification using Learning Vector Quantization algorithm. Dataset obtained from Kaggle, 8000 instance with 19 attribute and class labelled by safe and not safe

A library for LVQ-II neural algorithm

Project for the Neural Networks course @cse.uoi.gr

Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset

Implementations of perceptron algorithm with 2 hidden layers, learning vector quantization, k-means clustering algorithm, for the course Computational Intelligence @uoi

Learning Vector Quantization ( or LVQ ) is a type of Artificial Neural Network which also inspired by biological models of neural systems. It is based on a prototype supervised learning classification algorithm and trained its network through a competitive learning algorithm similar to Self Organizing Map.

Classification methods applied to an imbalanced big dataset

code for the paper Beyond Neural scaling laws for fast proven robust certification of nearest prototype classifiers

A python project for prototype-based soft feature selection

The Learning Vector Quantization 3 (LVQ 3) classification to digits data.

Basic Artificial Neural Network usage on BlackJack card game data with MATLAB

End-to-end implementation of banknotes authentication using advanced prototype-based model classification by components model dockerized and deployed on the Heroku platform as a service cloud.

Its a college Project

LVQ (Learning Vector Quantization) library for Java

Geographic Information System-based decision support system using the Learning Vector Quantization method.