@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; }