Partition

java.lang.Object
- jminhep.cluster.Partition

```
public class Partition
extends Object
```
Interface class to all clustering algorithms. Use it for JMInHEP embeded applications

Constructor Summary

Constructors
Constructor and Description

Partition(DataHolder data)

Constructors
Constructor and Description
`Partition(DataHolder data)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`DataHolder`	`getCenters()` Get cluster centers
`double`	`getCompactness()` Get compactness of the cluster configurations
`double[][]`	`getMembership()` Get membeship of each pint inside the cluster.
`String`	`getName()` Get name for this clustering
`int`	`getNclusters()` get number of reconstructed clusters
`int[]`	`getPoints()` Get number of points accosiated with clusters
`DataHolder`	`getSeeds()` Get seeds
`void`	`run(int Imode)` Main method to run cluster algorithm
`void`	`set(int Nclusters, double Eps, double Fuzzines, int Niterations)` Set parameters for clustering
`void`	`setProbab(double probability)` Set probability for cluster accosiation

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - Partition
```
public Partition(DataHolder data)
```
- Method Detail
  - set
```
public void set(int Nclusters,
                double Eps,
                double Fuzzines,
                int Niterations)
```
    Set parameters for clustering
    
    Parameters:
    
    Nclusters - - number of clusters
    
    Eps - - precision of clustering
    
    Fuzzines - - fuzziness (only for cmeans algorithms, for others just dummy constant)
    
    Niterations - - Max number of iterations
  - run
```
public void run(int Imode)
```
    Main method to run cluster algorithm
    
    Parameters:
    
    Imode - - cluster mode (int). Find the correct mode from the example or by running JMinHEP in GUI mode. After each clustering, Imode value is shown in the status bar.
  - getName
```
public String getName()
```
    Get name for this clustering
    
    Returns:
    
    Description of the cluster mode
  - getCompactness
```
public double getCompactness()
```
    Get compactness of the cluster configurations
    
    Returns:
    
    compactness
  - getCenters
```
public DataHolder getCenters()
```
    Get cluster centers
    
    Returns:
    
    DataHolder with cluster centers
  - getSeeds
```
public DataHolder getSeeds()
```
    Get seeds
    
    Returns:
    
    DataHolder with seed values (only for k-means algorithms)
  - getPoints
```
public int[] getPoints()
```
    Get number of points accosiated with clusters
    
    Returns:
    
    number of points in each cluster (int[])
  - getMembership
```
public double[][] getMembership()
```
    Get membeship of each pint inside the cluster. Applies for fuzzy algorithm.
    
    Returns:
    
    membership of each point.
  - setProbab
```
public void setProbab(double probability)
```
    Set probability for cluster accosiation
    
    Parameters:
    
    probability - Active only for cmeans (and only for representative purpose)
  - getNclusters
```
public int getNclusters()
```
    get number of reconstructed clusters
    
    Returns:
    
    number of reconstructed clusters

Class Partition

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Partition

Method Detail

set

run

getName

getCompactness

getCenters

getSeeds

getPoints

getMembership

setProbab

getNclusters