A simple demo of LVQ4J usage on the Iris Data Set
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Updated
Jun 16, 2020 - Java
A simple demo of LVQ4J usage on the Iris Data Set
Perceptron written from scratch in java 8
Iris Image Recognition Using Hybrid Backpropagation Neural Network and Bat Algorithm
Iris classification with the framework deeplearning4J
Utilization of some basic algorithms for the recogniton of one of the Iris plants among the three existing (Setosa, Versicolor, Virginica) using Java Object Oriented.
A map-reduce implementation of the k-nearest-neighbor classifier based on Hadoop with a minimal k-fold & bootstrapping cross validation and parameter tuning.
A Java Application to Predict the Iris Flower Category
Code to load iris dataset with two flowers
KNN Classifier: Serial and Concurrent implementation on Iris Dataset
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
2018 - Java Machine Learning Self Organized Map based on Iris.data
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