| Package | Description |
|---|---|
| moa.clusterers.outliers.AbstractC | |
| moa.clusterers.outliers.MCOD | |
| moa.clusterers.outliers.utils.mtree |
| Class and Description |
|---|
| DistanceFunctions.EuclideanCoordinate
An interface to represent coordinates in Euclidean spaces.
|
| Class and Description |
|---|
| DistanceFunctions.EuclideanCoordinate
An interface to represent coordinates in Euclidean spaces.
|
| Class and Description |
|---|
| DistanceFunction
An object that can calculate the distance between two data objects.
|
| DistanceFunctions.EuclideanCoordinate
An interface to represent coordinates in Euclidean spaces.
|
| MTree.Query
An
Iterable class which can be iterated to fetch the results of a
nearest-neighbors query. |
| MTree.ResultItem
The type of the results for nearest-neighbor queries.
|
| PartitionFunction
An object with partitions a set of data into two sub-sets.
|
| PromotionFunction
An object that chooses a pair from a set of data objects.
|
| SplitFunction
Defines an object to be used to split a node in an M-Tree.
|
| SplitFunction.SplitResult
An object used as the result for the
SplitFunction.process(Set, DistanceFunction) method. |
Copyright © 2014 University of Waikato, Hamilton, NZ. All Rights Reserved.