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