rm.operator.k_nn
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Uploaded 15-07-2016 by
Jan van Rijn
RapidMiner_6.4.0
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Parameters
| divergence | Select divergence | default: GeneralizedIDivergence |
| k | The used number of nearest neighbors. | default: 1 |
| kernel_a | The kernel parameter a. | default: 1.0 |
| kernel_b | The kernel parameter b. | default: 0.0 |
| kernel_degree | The kernel parameter degree. | default: 3.0 |
| kernel_gamma | The kernel parameter gamma. | default: 1.0 |
| kernel_shift | The kernel parameter shift. | default: 1.0 |
| kernel_sigma1 | The kernel parameter sigma1. | default: 1.0 |
| kernel_sigma2 | The kernel parameter sigma2. | default: 0.0 |
| kernel_sigma3 | The kernel parameter sigma3. | default: 2.0 |
| kernel_type | The kernel type | default: radial |
| measure_types | The measure type | default: MixedMeasures |
| mixed_measure | Select measure | default: MixedEuclideanDistance |
| nominal_measure | Select measure | default: NominalDistance |
| numerical_measure | Select measure | default: EuclideanDistance |
| weighted_vote | Indicates if the votes should be weighted by similarity. | default: false |
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