how to cluster colors using weka jar in java

Predicted = classifier.classifyInstance(instance) Ĭlass = dataset.attribute(dataset.numAttributes() -1).value(predicted)) Instance = javaObject('', length(attributes_Dataset)) Reader = javaObject('java.io.FileReader', ARFFTrainfile) ĭataset = javaObject('', reader) ĭtClassIndex(dataset.numAttributes() - 1) create classifier instance, and perform the evaluationĬlassifier = javaObject('') Import .* ĪRFFtrainfile = '/path/to/arfftrainfile.arff' ĪRFFtestfile = '/path/to/arfftestfile.arff' include jar libraries to matlab environment The code snippets that i will show is to use the WEKA library on Matlab files, but it can be used to link any kind of java library. And because is built on top of a Java Virtual Machine, it now allows to use java objects on their. One nice feature is that you can use their JAVA API to develop and incorporate in your own applications and avoiding to write implementations of SVM, K-NN,… algorithms.Īnother tool that i used a lot was Matlab – MAthWorks, which in the last version (2008) allows us to write code in a object oriented way. The WEKA ( ) software is very powerful data mining tool that allows you to test your datasets with a broad set of classifiers, and cluster functions.

How to cluster colors using weka jar in java