Classifier for datasets with label using Naive Bayes and KNN, written in Java
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Updated
Dec 1, 2015 - Java
Classifier for datasets with label using Naive Bayes and KNN, written in Java
Sistema para auxiliar o engenheiro e o eletricitas nos projetos das instalações elétricas de baixa tensão utilizadas em casas e prédios
Just a simple implementation of K-Nearest Neighbour algorithm.
A LibreOffice Calc extension that fills missing data using machine learning techniques
K-Nearest Neighbor Text Categorization
Application of Supervised Learning algorithms
A few R programs to simulate many fundamental data mining algorithms
Uma implementação simples do algorítimo de classificação K - Nearest Neighbor (K-NN).
Low Humid Day Predication from daily weather data using SprakSQL on a Jupyter notebook and KNIME workspace
CS150DL: Deep Learning for Computer Vision
K-Nearest Neighbors Algorithm - Classsifier
data
Simple KNN using iris data with euclidean distance or cosine distance.
This python module will recognize emotions in video sequences using optical flow and machine learning techniques.
K-Nearest Neighbors Classifier
Each face is 60x70 and from the Berkeley classification project which took the photos from the Cal-tech 101 data set. There are 451 training images, 150 test images, and 301 Validation images. Perceptron, Naive Bayes, and KNN are used for classification.
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