Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
|
de.lmu.ifi.dbs.elki.math.geometry |
Algorithms from computational geometry.
|
Modifier and Type | Class and Description |
---|---|
protected static class |
AbstractHDBSCAN.HDBSCANAdapter
Class for processing the HDBSCAN G_mpts graph.
|
Modifier and Type | Class and Description |
---|---|
static class |
DimensionSimilarityMatrix.PrimAdapter
Adapter class for running prim's algorithm.
|
Modifier and Type | Class and Description |
---|---|
static class |
PrimsMinimumSpanningTree.Array2DAdapter
Adapter for a simple 2d double matrix.
|
Modifier and Type | Method and Description |
---|---|
static <T> int[] |
PrimsMinimumSpanningTree.processDense(T data,
PrimsMinimumSpanningTree.Adapter<T> adapter)
Run Prim's algorithm on a dense graph.
|
static <T> void |
PrimsMinimumSpanningTree.processDense(T data,
PrimsMinimumSpanningTree.Adapter<T> adapter,
PrimsMinimumSpanningTree.Collector collector)
Run Prim's algorithm on a dense graph.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.