Package | Description |
---|---|
de.lmu.ifi.dbs.elki.evaluation.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
de.lmu.ifi.dbs.elki.utilities.datastructures.arrays |
Utilities for arrays: advanced sorting for primitvie arrays.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
Modifier and Type | Class and Description |
---|---|
static class |
ROC.DecreasingVectorIter
Class to iterate over a number vector in decreasing order.
|
static class |
ROC.IncreasingVectorIter
Class to iterate over a number vector in decreasing order.
|
Modifier and Type | Method and Description |
---|---|
private static void |
IntegerArrayQuickSort.quickSort(int[] data,
int start,
int end,
IntegerComparator comp)
Actual recursive sort function.
|
static void |
IntegerArrayQuickSort.sort(int[] data,
IntegerComparator comp)
Sort the full array using the given comparator.
|
static void |
IntegerArrayQuickSort.sort(int[] data,
int start,
int end,
IntegerComparator comp)
Sort the array using the given comparator.
|
Modifier and Type | Class and Description |
---|---|
class |
SameSizeKMeansAlgorithm.PreferenceComparator
Sort a list of integers (= cluster numbers) by the distances.
|
Modifier and Type | Method and Description |
---|---|
IntegerComparator |
SameSizeKMeansAlgorithm.PreferenceComparator.select(SameSizeKMeansAlgorithm.Meta c)
Set the meta to sort by
|