A B C D E G I L N S T W X

A

AbstractNeighborGenerator<T> - Class in info.debatty.spark.kmedoids.neighborgenerator

A dummy generator that has an empty implementation for the init and notify* methods.

AbstractNeighborGenerator() - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.AbstractNeighborGenerator

add(XY) - Method in class info.debatty.spark.kmedoids.neighborgenerator.Bin

Add a point to this bin.

add(double) - Method in class info.debatty.spark.kmedoids.neighborgenerator.Window

Add a value to the window, maybe discarding a previous value.

average() - Method in class info.debatty.spark.kmedoids.neighborgenerator.Window

Compute the average of values currently in the window.

B

Bin - Class in info.debatty.spark.kmedoids.neighborgenerator

Bin() - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.Bin

Budget - Interface in info.debatty.spark.kmedoids

C

Clarans<T> - Class in info.debatty.spark.kmedoids

Clarans() - Constructor for class info.debatty.spark.kmedoids.Clarans

Build an instance of Clarans k-medoids clustering algorithm.

ClaransNeighborGenerator<T> - Class in info.debatty.spark.kmedoids.neighborgenerator

ClaransNeighborGenerator() - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.ClaransNeighborGenerator

cluster(JavaRDD<T>) - Method in class info.debatty.spark.kmedoids.Clusterer

Cluster the data according to defined parameters.

Clusterer<T> - Class in info.debatty.spark.kmedoids

A generic k-medoids clusterer.

Clusterer() - Constructor for class info.debatty.spark.kmedoids.Clusterer

compareTo(XY) - Method in class info.debatty.spark.kmedoids.neighborgenerator.XY

D

distance(double[], double[]) - Method in class info.debatty.spark.kmedoids.L2Similarity

Compute traditional Euclidean distance.

E

end() - Method in class info.debatty.spark.kmedoids.Solution

Set end time.

G

getComputedSimilarities() - Method in class info.debatty.spark.kmedoids.Solution

getDatasetSize() - Method in class info.debatty.spark.kmedoids.Solution

getEndTime() - Method in class info.debatty.spark.kmedoids.Solution

getIterations() - Method in class info.debatty.spark.kmedoids.Solution

getMedoids() - Method in class info.debatty.spark.kmedoids.Solution

getNeighbor(NeighborGeneratorHelper<T>, Solution<T>, Similarity<T>) - Method in class info.debatty.spark.kmedoids.neighborgenerator.ClaransNeighborGenerator

getNeighbor(NeighborGeneratorHelper<T>, Solution<T>, Similarity<T>) - Method in class info.debatty.spark.kmedoids.neighborgenerator.SANeighborGenerator

getNeighbor(NeighborGeneratorHelper<T>, Solution<T>, Similarity<T>) - Method in class info.debatty.spark.kmedoids.neighborgenerator.WindowNeighborGenerator

getNeighbor(NeighborGeneratorHelper<T>, Solution<T>, Similarity<T>) - Method in interface info.debatty.spark.kmedoids.NeighborGenerotor

Create a neighbor candidate solution.

getRandomPoint() - Method in class info.debatty.spark.kmedoids.Clusterer

getRandomPoint() - Method in class info.debatty.spark.kmedoids.NeighborGeneratorHelper

Get a single random point.

getStartTime() - Method in class info.debatty.spark.kmedoids.Solution

getTotalSimilarity() - Method in class info.debatty.spark.kmedoids.Solution

getTrials() - Method in class info.debatty.spark.kmedoids.Solution

getX() - Method in class info.debatty.spark.kmedoids.neighborgenerator.XY

getY() - Method in class info.debatty.spark.kmedoids.neighborgenerator.XY

I

incComputedSimilarities(long) - Method in class info.debatty.spark.kmedoids.Solution

Increment the number of computed similarities.

incIterations() - Method in class info.debatty.spark.kmedoids.Solution

incTrials() - Method in class info.debatty.spark.kmedoids.Solution

info.debatty.spark.kmedoids - package info.debatty.spark.kmedoids

info.debatty.spark.kmedoids.budget - package info.debatty.spark.kmedoids.budget

info.debatty.spark.kmedoids.neighborgenerator - package info.debatty.spark.kmedoids.neighborgenerator

init(int) - Method in class info.debatty.spark.kmedoids.neighborgenerator.AbstractNeighborGenerator

init(int) - Method in class info.debatty.spark.kmedoids.neighborgenerator.WindowNeighborGenerator

init(int) - Method in interface info.debatty.spark.kmedoids.NeighborGenerotor

Initialize the generator, before we start computing.

isExhausted(Solution) - Method in interface info.debatty.spark.kmedoids.Budget

Returns true when the allocated budget is exhausted.

isExhausted(Solution) - Method in class info.debatty.spark.kmedoids.budget.SimilaritiesBudget

isExhausted(Solution) - Method in class info.debatty.spark.kmedoids.budget.TimeBudget

isExhausted(Solution) - Method in class info.debatty.spark.kmedoids.budget.TrialsBudget

L

L2Similarity - Class in info.debatty.spark.kmedoids

L2Similarity() - Constructor for class info.debatty.spark.kmedoids.L2Similarity

N

NeighborGeneratorHelper<T> - Class in info.debatty.spark.kmedoids

Exposes a few helper methods to the NeighborGenerator.

NeighborGeneratorHelper(Clusterer<T>) - Constructor for class info.debatty.spark.kmedoids.NeighborGeneratorHelper

Will only expose a few helper methods to the NeighborGenerator.

NeighborGenerotor<T> - Interface in info.debatty.spark.kmedoids

NoNeighborFoundException - Exception in info.debatty.spark.kmedoids

NoNeighborFoundException() - Constructor for exception info.debatty.spark.kmedoids.NoNeighborFoundException

Thrown when the neighbor generator cannot find a new neighbor.

notifyCandidateSolutionCost(List<T>, double) - Method in class info.debatty.spark.kmedoids.neighborgenerator.AbstractNeighborGenerator

notifyCandidateSolutionCost(List<T>, double) - Method in class info.debatty.spark.kmedoids.neighborgenerator.WindowNeighborGenerator

notifyCandidateSolutionCost(List<T>, double) - Method in interface info.debatty.spark.kmedoids.NeighborGenerotor

Inform the generator what the cost of the current solution is.

notifyNewSolution(List<T>, double) - Method in class info.debatty.spark.kmedoids.neighborgenerator.AbstractNeighborGenerator

notifyNewSolution(List<T>, double) - Method in class info.debatty.spark.kmedoids.neighborgenerator.WindowNeighborGenerator

notifyNewSolution(List<T>, double) - Method in interface info.debatty.spark.kmedoids.NeighborGenerotor

Notify the generator that the new solution is better then the previous one.

S

SANeighborGenerator<T> - Class in info.debatty.spark.kmedoids.neighborgenerator

Simulated Annealing is used to select replacement point to build the candidate solution.

SANeighborGenerator(double, double) - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.SANeighborGenerator

Initialize a Simulated Annealing based neighbor generator.

setBudget(Budget) - Method in class info.debatty.spark.kmedoids.Clusterer

setImbalance(double) - Method in class info.debatty.spark.kmedoids.Clusterer

Set imbalance : 1.0 equals perfectly balanced.

setK(int) - Method in class info.debatty.spark.kmedoids.Clusterer

setNeighborGenerator(NeighborGenerotor<T>) - Method in class info.debatty.spark.kmedoids.Clusterer

setNewMedoids(ArrayList<T>, double) - Method in class info.debatty.spark.kmedoids.Solution

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

setSimilarity(Similarity<T>) - Method in class info.debatty.spark.kmedoids.Clusterer

SimilaritiesBudget - Class in info.debatty.spark.kmedoids.budget

SimilaritiesBudget(long) - Constructor for class info.debatty.spark.kmedoids.budget.SimilaritiesBudget

Stop when the specified number of similarities have been computed.

similarity(double[], double[]) - Method in class info.debatty.spark.kmedoids.L2Similarity

Compute similarity as 1 / (1 + distance).

Similarity<T> - Interface in info.debatty.spark.kmedoids

similarity(T, T) - Method in interface info.debatty.spark.kmedoids.Similarity

Compute the similarity between two objects.

Solution<T> - Class in info.debatty.spark.kmedoids

A clustering solution.

Solution(long) - Constructor for class info.debatty.spark.kmedoids.Solution

Initialize a solution with dataset size and computation start time.

T

threshold() - Method in class info.debatty.spark.kmedoids.neighborgenerator.Bin

TimeBudget - Class in info.debatty.spark.kmedoids.budget

Allows the algorithm to run for a fixed time (in seconds).

TimeBudget(int) - Constructor for class info.debatty.spark.kmedoids.budget.TimeBudget

Allow algorithm to run for a fixed time (in seconds).

toCSV() - Method in class info.debatty.spark.kmedoids.Solution

Return a CSV line of the solution.

toString() - Method in class info.debatty.spark.kmedoids.neighborgenerator.XY

toString() - Method in class info.debatty.spark.kmedoids.Solution

TrialsBudget - Class in info.debatty.spark.kmedoids.budget

TrialsBudget(int) - Constructor for class info.debatty.spark.kmedoids.budget.TrialsBudget

Stop when the specified number of candidate solutions have been tried.

W

Window - Class in info.debatty.spark.kmedoids.neighborgenerator

A gliding window for computing the average of a fixed number of values.

Window(int) - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.Window

A gliding window for computing the average of a fixed number of values.

WindowNeighborGenerator<T> - Class in info.debatty.spark.kmedoids.neighborgenerator

WindowNeighborGenerator() - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.WindowNeighborGenerator

X

XY - Class in info.debatty.spark.kmedoids.neighborgenerator

XY(double, double) - Constructor for class info.debatty.spark.kmedoids.neighborgenerator.XY

A B C D E G I L N S T W X