Modifier and Type | Method and Description |
---|---|
java.util.ArrayList<IAnalysisAsset> |
IAnalysisDocument.getAllAssets()
This operation returns all assets created for all data slices in the IAnalysisDocument.
|
java.util.ArrayList<IAnalysisAsset> |
IAnalysisDocument.getAssetsAtSlice(int sliceNumber)
This operation returns the set of assets created for the specified data slice.
|
Modifier and Type | Method and Description |
---|---|
java.util.ArrayList<IAnalysisAsset> |
KDDAnalysisDocument.getAllAssets() |
java.util.ArrayList<IAnalysisAsset> |
KDDAnalysisDocument.getAssetsAtSlice(int sliceNumber) |
Modifier and Type | Class and Description |
---|---|
class |
KDDStrategy
KDDStrategy is the top-level abstraction for a Strategy design pattern used
for running various families of clustering and anomaly detection algorithms.
|
Modifier and Type | Class and Description |
---|---|
class |
CompositeStrategy
The CompositeStrategy is a realization of the Composite design pattern that
encapsulates a tree structure of available KDDStrategies to execute.
|
Modifier and Type | Class and Description |
---|---|
class |
AxialPower
AxialPower is a subclass of GodfreySubStrategy that takes both the raw user
input nuclear reactor pin power data as well as the pin power difference and
produces the axial power data.
|
class |
GodfreyStrategy
The GodfreyStrategy is a CompositeStrategy that is composed of a number of
KDDStrategies that are used in calculating various statistics on the axial
power, radial power, assembly power, and full reactor power.
|
class |
GodfreySubStrategy |
class |
PinPowerDifference
PinPowerDifference is a subclass of GodfreySubStrategy that takes the user
input nuclear reactor pin power data and produces the difference between it
and some reference set of pin power data.
|
class |
RadialPower |
Modifier and Type | Class and Description |
---|---|
class |
ComparativeKMeansStrategy
The ComparativeKMeansStrategy performs a basic KMeans clustering algorithm on
a matrix that is the difference between a loaded set of analysis data and a
given reference set of data.
|
class |
RawKMeansStrategy
RawKMeansStrategy is a subclass of KDDStrategy that provides an
executeStrategy method that runs the KMeans clustering algorithm for a raw
data set (matrix).
|