Example usage for weka.clusterers AbstractClusterer subclass-usage

List of usage examples for weka.clusterers AbstractClusterer subclass-usage

Introduction

In this page you can find the example usage for weka.clusterers AbstractClusterer subclass-usage.

Usage

From source file HierarchicalClusterer.java

/**
<!-- globalinfo-start -->
* Hierarchical clustering class.
* Implements a number of classic hierarchical clustering methods.
<!-- globalinfo-end -->
* 

From source file adams.ml.model.clustering.WekaClusterer.java

/**
 <!-- globalinfo-start -->
 * Wraps around a Weka clusterer.
 * <br><br>
 <!-- globalinfo-end -->
 *

From source file agnes.MyAgnes.java

/**
 *
 * @author ASUS X202E
 */
public class MyAgnes extends AbstractClusterer {
    String link;

From source file aw_cluster.myAgnes.java

/**
 *
 * @author Wiwit Rifa'i
 */
public class myAgnes extends AbstractClusterer {

From source file aw_cluster.myKMeans.java

/**
 *
 * @author aodyra
 */
public class myKMeans extends AbstractClusterer {

From source file categorization.SpectralWEKA.java

/**
 * <p>
 * Spectral clusterer class. For more information see:
 * <ul>
 * <li>Shi, J., and J. Malik (1997) "Normalized Cuts and Image Segmentation",
 * in Proc. of IEEE Conf. on Comp. Vision and Pattern Recognition, Puerto Rico</li>

From source file classes.AbdoAgglomerativeClusterer.java

/**
 *
 * @author Eng.Abdo
 */
public class AbdoAgglomerativeClusterer extends AbstractClusterer
        implements OptionHandler, CapabilitiesHandler, Drawable {

From source file clusterer.HaritsDBScan.java

/**
 <!-- globalinfo-start -->
 * Basic implementation of DBSCAN clustering algorithm that should *not* be used as a reference for runtime benchmarks: more sophisticated implementations exist! Clustering of new instances is not supported. More info:<br/>
 * <br/>
 *  Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996.
 * <p/>

From source file clustering.myAgnes.java

/**
 *
 * @author user
 */
public class myAgnes extends AbstractClusterer {
    private int numOfClusters = 2;

From source file cn.pku.sei.GHRC.SpectralClusterer.java

/**
 * <p>
 * Spectral clusterer class. For more information see:
 * <ul>
 * <li>Shi, J., and J. Malik (1997) "Normalized Cuts and Image Segmentation", in
 * Proc. of IEEE Conf. on Comp. Vision and Pattern Recognition, Puerto Rico</li>