Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest
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Updated
Sep 1, 2020 - Jupyter Notebook
Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest
This project provides an implementation of self-incremental learning vector quantization. This implementation is based on the below paper. https://www.nature.com/articles/s41598-021-83182-4.
Code written for MATH 444 projects Spring 2021
Project for the Neural Networks course @cse.uoi.gr
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
Learning Vector Quantization is used for the classification of the dataset.
LVQ (Learning Vector Quantization) library for Java
The Learning Vector Quantization 3 (LVQ 3) classification to digits data.
easy definition of tensor flow based neural networks
Leaf Classification with Learning Vector Quantization
Building a Learning Vector Quantization 1 (LVQ1) network
SOM_PAK with LVQ_PAK: The Self-Organizing Map and Learning Vector Quantization Program Packages
A simple demo of LVQ4J usage on the Iris Data Set
Kenali Makananmu / Know Your Meals with Haralick, CIE Lab Color Moments and Learning Vector Quantization (Bachelor Thesis Project)
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