@Override
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
types.add(
new ParameterTypeBoolean(
PARAMETER_USE_WEIGHTS,
"Indicates if the weight attribute should be used.",
false,
false));
types.add(
new ParameterTypeInt(
PARAMETER_K,
"The number of clusters which should be detected.",
2,
Integer.MAX_VALUE,
2,
false));
types.add(
new ParameterTypeInt(
PARAMETER_MAX_OPTIMIZATION_STEPS,
"The maximal number of iterations performed for one run of k-Means.",
1,
Integer.MAX_VALUE,
100,
false));
types.addAll(RandomGenerator.getRandomGeneratorParameters(this));
types.addAll(Kernel.getParameters(this));
return types;
}
@Override
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = super.getParameterTypes();
types.addAll(Kernel.getParameters(this));
return types;
}
