FXApps

Weka is one of the most known tools for Machine Learning in Java, which also has a great Java API including API for k-means clustering. Using JavaFX it is possible to visualize unclassified data, classify the data using Weka APIs and then visualize the result in a JavaFX chart, like the Scatter chart . In this post we will show a simple application that allows you to load data, show it without series distinction using a JavaFX scatter chart,, then we use Weka to classify the data in a defined number of clusters and finally separated the clustered data by chart series. We will be using the Iris.2D.arff file that comes with Weka download. K-means clustering using Weka is really simple and requires only a few lines of code as you can see in this post . In our application we will build 3 charts for the Iris dataset : Data without class distinction (no classes) The data with the ground truth classification Data clustered using weka As you can see the clustered data is rea...