info.debatty.spark.kmedoids

Class Solution<T>

java.lang.Object

info.debatty.spark.kmedoids.Solution<T>

Type Parameters:

T - Type of data that will be clustered

public class Solution<T>
extends Object

A clustering solution. Keeps the list of medoids, plus some other values: number of iterations, number of computed similarities etc.

Author:

Thibault Debatty

Constructor Summary

Constructors

Constructor and Description
Solution(long dataset_size) Initialize a solution with dataset size and computation start time.

Method Summary

Modifier and Type	Method and Description
void	end() Set end time.
long	getComputedSimilarities()
long	getDatasetSize()
long	getEndTime()
int	getIterations()
ArrayList<T>	getMedoids()
long	getStartTime()
double	getTotalSimilarity()
int	getTrials()
void	incComputedSimilarities(long similarities) Increment the number of computed similarities.
void	incIterations()
void	incTrials()
void	setNewMedoids(ArrayList<T> medoids, double total_similarity) Set the new medoids and the total similarity of these medoids together.
String	toCSV() Return a CSV line of the solution.
String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Solution

public Solution(long dataset_size)

Initialize a solution with dataset size and computation start time.

Parameters:

dataset_size -

Method Detail

getMedoids

public final ArrayList<T> getMedoids()

Returns:

getTotalSimilarity

public final double getTotalSimilarity()

Returns:

getComputedSimilarities

public final long getComputedSimilarities()

Returns:

getStartTime

public final long getStartTime()

Returns:

getEndTime

public final long getEndTime()

Returns:

getDatasetSize

public final long getDatasetSize()

Returns:

getTrials

public final int getTrials()

Returns:

getIterations

public final int getIterations()

Returns:

setNewMedoids

public final void setNewMedoids(ArrayList<T> medoids,
                                double total_similarity)

Set the new medoids and the total similarity of these medoids together.

Parameters:

medoids -

total_similarity -

toString

public final String toString()

Overrides:

toString in class Object

Returns:

toCSV

public final String toCSV()

Return a CSV line of the solution.

Returns:

incComputedSimilarities

public final void incComputedSimilarities(long similarities)

Increment the number of computed similarities.

Parameters:

similarities -

incIterations

public final void incIterations()

incTrials

public final void incTrials()

end

public final void end()

Set end time.