public class KNNClassifier extends AbstractDissimilarityClassifier
Constructor and Description |
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KNNClassifier(int[] trainingLabels) |
Modifier and Type | Method and Description |
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int[] |
calculateVotes(double[] distances)
Returns the number of data points within the k nearest neighbors to the
reference data point, that had some given class label.
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int[] |
calculateVotes(int i,
double[] distances)
Returns the number of data points within the k nearest neighbors to the
reference data point, that had some given class label.
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int |
classifyTest(double[] distances)
Returns the supposed class label for some data point, that is not
part of the training set, based on its distances to the training data
set.
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int |
classifyTraining(int i,
double[] distances)
Returns the supposed class label for some data point in the
training set based on its distances to all training data points.
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int |
getK()
Returns the number of nearest neighbors that is considered by this
classifier.
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void |
setK(int K)
Sets the number of nearest neighbors that is considered by this
classifier.
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calculateTestAccuracy, calculateTrainingAccuracy, getLabels, getTrainingLabels
public int getK()
public void setK(int K)
K
- the number of nearest neighbors that is considered by this
classifier.public int[] calculateVotes(double[] distances)
distances
- the distances of the reference data point to all
training data points considered by this classifier.public int[] calculateVotes(int i, double[] distances)
i
- the index of the reference data point itself.distances
- the distances of the reference data point to all
training data points considered by this classifier.public int classifyTest(double[] distances)
DissimilarityClassifier
classifyTest
in interface DissimilarityClassifier
classifyTest
in class AbstractDissimilarityClassifier
distances
- the distances of the data point to all
training data points.public int classifyTraining(int i, double[] distances)
DissimilarityClassifier
classifyTraining
in interface DissimilarityClassifier
classifyTraining
in class AbstractDissimilarityClassifier
i
- the index of the data point that shall be classified in
the training set.distances
- the distances of the data point to all
training data points.Copyright (C) 2016-2018 Benjamin Paaßen, AG Theoretical Computer Science, Centre of Excellence Cognitive Interaction Technology (CITEC), University of Bielefeld, licensed under the AGPL v. 3: http://openresearch.cit-ec.de/projects/tcs . This documentation is licensed under the conditions of CC-BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/