Implementation of k-Nearest Neighbours algorithm for use on geometric morphometric data and a simulated dataset.
Machine Learning examples using k-nearest neighbors algorithm
Nearest Neighbour Search with Variables on a Torus
Implementation of the K-Nearest Neighbors (KNN) algorithm in R.
Using labelled classifed data to infer a learning algorithm in R
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
Análise e Classificação de Dados Students Performance. (Data Science)
KNN Classifier problem for classifying Glass type using the composition of elements
Classification of Income using kNN and RandomForest Algorithms - Machine Learning
Códigos referentes a distintos proyectos realizados en el software estadístico R
Execução dos códigos do Livro Machine Learning with R Packt
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