Package | Description |
---|---|
edu.ucla.sspace.clustering.criterion |
Modifier and Type | Class and Description |
---|---|
class |
E1Function
This
CriterionFunction measures the external differences between
clusters. |
class |
G1Function
This
CriterionFunction interprets the dataset as a set of vertices in
a graph and measures the best cuts of these vertices. |
class |
I1Function
This
CriterionFunction measures the amount of internal similarity for
each computed centroid. |
class |
I2Function
This
CriterionFunction measures the amount of internal similarity for
each computed centroid. |
Modifier and Type | Method and Description |
---|---|
protected BaseFunction |
H2Function.getExternalFunction()
Returns the external
CriterionFunction . |
protected abstract BaseFunction |
HybridBaseFunction.getExternalFunction()
Returns the external
CriterionFunction . |
protected BaseFunction |
H1Function.getExternalFunction()
Returns the external
CriterionFunction . |
protected BaseFunction |
H2Function.getInternalFunction()
Returns the internal
CriterionFunction . |
protected abstract BaseFunction |
HybridBaseFunction.getInternalFunction()
Returns the internal
CriterionFunction . |
protected BaseFunction |
H1Function.getInternalFunction()
Returns the internal
CriterionFunction . |
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