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 core.DBScan.java

/**
 <!-- globalinfo-start -->
 * 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/>
 <!-- globalinfo-end -->
 *

From source file core.OPTICS.java

/**
 <!-- globalinfo-start -->
 * Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999.
 * <p/>
 <!-- globalinfo-end -->
 *

From source file kmeans_extend.MyKMeans.java

/**
 *
 * @author ASUS X202E
 */
public class MyKMeans extends AbstractClusterer {

From source file meansagnes.MyAgnes.java

/**
 *
 * @author Fiqie
 */
public class MyAgnes extends AbstractClusterer {

From source file myclusterer.MyAgnes.java

/**
 *
 * @author Visat
 */
public class MyAgnes extends AbstractClusterer implements NumberOfClustersRequestable {

From source file org.fabrelab.textkit.tools.cluster.HierarchicalClustererWithThreshold.java

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

From source file Part2.HierarchicalClusterer.java

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

From source file Part2.HierarchicalClustererEx.java

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

From source file pk.lums.edu.sma.processing.ml.DBSCAN.DBSCAN.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/>

From source file technion.prime.history.converters.MyDBScan.java

/**
 <!-- globalinfo-start -->
 * 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/>
 <!-- globalinfo-end -->
 *