This is a machine learning assignment that implements the K-Nearest Neighbors (KNN) algorithm on the Iris dataset from scratch using pure C
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Updated
Feb 14, 2024 - C
This is a machine learning assignment that implements the K-Nearest Neighbors (KNN) algorithm on the Iris dataset from scratch using pure C
C language Implementation of the Kmeans Clustering Algorithm
A feedforward neural net used to classify the Iris data set
Projeto que utiliza a base de dados Iris para calcular a acurácia e a função de perda de um modelo de aprendizado de máquina. Focado em análise de desempenho e avaliação de modelos.
Fuzzy C Mean Clustering on IRIS Dataset implemented in C.
Implementation of the SOM (Self-Organizing Map) algorithm in C based on the paper "Self-Organizing Maps" by Teuvo Kohonen. It uses Ronald Aylmer Fisher's famous Iris dataset.
Classifier for the iris data set using the k-nearest neighbors algorithm.
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