| Package | Description |
|---|---|
| info.debatty.spark.kmedoids | |
| info.debatty.spark.kmedoids.budget | |
| info.debatty.spark.kmedoids.neighborgenerator |
| Modifier and Type | Method and Description |
|---|---|
Solution<T> |
Clusterer.cluster(org.apache.spark.api.java.JavaRDD<T> input_data)
Cluster the data according to defined parameters.
|
| Modifier and Type | Method and Description |
|---|---|
ArrayList<T> |
NeighborGenerotor.getNeighbor(NeighborGeneratorHelper<T> helper,
Solution<T> current_solution,
Similarity<T> similarity)
Create a neighbor candidate solution.
|
boolean |
Budget.isExhausted(Solution solution)
Returns true when the allocated budget is exhausted.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
TrialsBudget.isExhausted(Solution solution) |
boolean |
TimeBudget.isExhausted(Solution solution) |
boolean |
SimilaritiesBudget.isExhausted(Solution solution) |
| Modifier and Type | Method and Description |
|---|---|
ArrayList<T> |
WindowNeighborGenerator.getNeighbor(NeighborGeneratorHelper<T> helper,
Solution<T> current_solution,
Similarity<T> similarity) |
ArrayList<T> |
SANeighborGenerator.getNeighbor(NeighborGeneratorHelper<T> helper,
Solution<T> current_solution,
Similarity<T> similarity) |
ArrayList<T> |
ClaransNeighborGenerator.getNeighbor(NeighborGeneratorHelper<T> helper,
Solution<T> current_solution,
Similarity<T> similarity) |
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