fsmvis.engine
Class NeighbourAndSampleModel
java.lang.Object
|
+--fsmvis.engine.SpringModel
|
+--fsmvis.engine.NeighbourAndSampleModel
- public class NeighbourAndSampleModel
- extends SpringModel
- See Also:
- Serialized Form
Fields inherited from class fsmvis.engine.SpringModel |
dampingFactor,
dataItems,
dataSizeFactor,
deltaTime,
endC,
force,
freeness,
gravityDampingForce,
gravityForce,
layoutBounds,
numIterations,
position,
properties,
rangeHi,
rangeLo,
runningTime,
springForce,
startTime,
timeDampingForce,
timeForce,
unrelatedDist,
velocity,
viewParent |
Method Summary |
void |
calcForces(int index)
Calculates the forces that will be exerted on dataItem with index index
Calcs forces only by looking at neighbours and samples lists. |
void |
doNormalise()
Instruction to normalise data for spring model |
void |
findNewNeighbours(int index)
For the object at index point, check thro' its samples list to check if
any of those objects would make better neighbours than the ones
currently in the neighbours list. |
void |
initValues()
Initialises the values for this class, over rides the method in Spring
model. |
protected void |
loadProperties()
Initialises the properties for this object to be the properties held
for this object |
protected void |
randomizeSample(int index)
Creates a new arrayList of random numbers to be used by the samples
ArrayList. |
protected void |
randomizeSample(int index,
java.lang.String s)
To ensure this version runs for final iterations of interp model - should
run on whole set, rather than version in SubsetNeighb+Samp |
void |
setSizes(int v,
int s)
|
Methods inherited from class fsmvis.engine.SpringModel |
addForces,
calcGravityForce,
calcTimeForce,
doIteration,
getApproxError,
getApproxVelocity,
getAvgError,
getAvgVelocity,
getDataItem,
getDataItemCollection,
getDisplayableItems,
getExecutionTime,
getNumIterations,
getPosition,
getProperties,
getStress,
init,
integrateChanges,
randomizePositions,
resetIterations,
setDataItemCollection,
updateValues |
Methods inherited from class java.lang.Object |
clone,
equals,
finalize,
getClass,
hashCode,
notify,
notifyAll,
toString,
wait,
wait,
wait |
neighbours
protected java.util.ArrayList neighbours
samples
protected java.util.ArrayList samples
neighbourSize
public static int neighbourSize
sampleSize
public static int sampleSize
NEIGHBOUR_SIZE
public static final java.lang.String NEIGHBOUR_SIZE
SAMPLE_SIZE
public static final java.lang.String SAMPLE_SIZE
NeighbourAndSampleModel
public NeighbourAndSampleModel(DataItemCollection dataItems,
EndCriteria ec,
Viewer v)
- constructor: takes a DataItemCollection as argument, this is the
data that will be used with this layout model
- Parameters:
dataItems
-
NeighbourAndSampleModel
public NeighbourAndSampleModel(DataItemCollection dataItems,
EndCriteria ec,
Viewer v,
int neigh,
int samp)
- constructor: takes a DataItemCollection as argument, this is the
data that will be used with this layout model
- Parameters:
dataItems
-
loadProperties
protected void loadProperties()
- Initialises the properties for this object to be the properties held
for this object
- Overrides:
- loadProperties in class SpringModel
initValues
public void initValues()
- Initialises the values for this class, over rides the method in Spring
model. Makes a call to super first.
- Overrides:
- initValues in class SpringModel
doNormalise
public void doNormalise()
- Instruction to normalise data for spring model
- Overrides:
- doNormalise in class SpringModel
calcForces
public void calcForces(int index)
- Calculates the forces that will be exerted on dataItem with index index
Calcs forces only by looking at neighbours and samples lists.
Overrides the method in SpringModel
- Parameters:
index
- The index of the dataItem that forces are to be calculated
on- Overrides:
- calcForces in class SpringModel
findNewNeighbours
public void findNewNeighbours(int index)
- For the object at index point, check thro' its samples list to check if
any of those objects would make better neighbours than the ones
currently in the neighbours list.
- Parameters:
index
- The index of the element whose samples list should be
examined for better neighbours
randomizeSample
protected void randomizeSample(int index)
- Creates a new arrayList of random numbers to be used by the samples
ArrayList. This list will contain a sampleSize random numbers,
corresponding to dataItem indices, such that none of the values are the
same as ones already in the sample or already in the neighbours list
and are between 0 and dataItems.getSize(). THe resulting list will be
stored in samples[index].
- Parameters:
index
- The index of the samples arrayList to store the result
randomizeSample
protected void randomizeSample(int index,
java.lang.String s)
- To ensure this version runs for final iterations of interp model - should
run on whole set, rather than version in SubsetNeighb+Samp
- Parameters:
index
- The index of the samples arrayList to store the results
- No purpose
setSizes
public void setSizes(int v,
int s)