Example usage for weka.filters.unsupervised.attribute PrincipalComponents setMaximumAttributes

Introduction

In this page you can find the example usage for weka.filters.unsupervised.attribute PrincipalComponents setMaximumAttributes.

Prototype

public void setMaximumAttributes(int value) 

Source Link

Document

Sets maximum number of PC attributes to retain.

Usage

From source file:etc.aloe.oilspill2010.FeatureGenerationImpl.java

License:Open Source License

protected Filter getFeatureReductionFilter(ExampleSet examples) throws Exception {
    PrincipalComponents filter = new PrincipalComponents();
    filter.setMaximumAttributes(10);

    filter.setInputFormat(examples.getInstances());
    Instances filtered = Filter.useFilter(examples.getInstances(), filter);
    examples.setInstances(filtered);//from  w  ww.ja v  a2s .  co m

    return filter;
}

---

From source file:parkinsonpredictor.ParkinsonPredictor.java

/**
 * Do principal component analysis//  w  w w.ja va 2  s . c  om
 */
public static void doPCA() {
    PrincipalComponents pc = new PrincipalComponents();
    DataSource source;
    try {
        source = new DataSource(".\\parkinsonDataTruncate.libsvm");
        Instances data = source.getDataSet();
        pc.setInputFormat(data);
        pc.setMaximumAttributes(100);
        Instances newData = Filter.useFilter(data, pc);

        Path file = Paths.get("parkinsonDataPCA.txt");
        List<String> lines = Arrays.asList(newData.toString());
        Files.write(file, lines, Charset.forName("UTF-8"));
    } catch (Exception e) {
        e.printStackTrace();
    }
}

---