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See:
Description
Interface Summary | |
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DistanceMetric | The interface, distance metric classes have to implement. |
Class Summary | |
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AbstractMetric | Implements a static method for metric instantiation and a method for mean vector calculation. |
AbstractWeightedMetric | |
CosineMetric | Implements the cosine metric, defined for two vectors d1 and d2 as d1xd2 / (|d1|*|d2|). |
L1Metric | Implements the L1 or city block metric. |
L2Metric | Implements the L2 or Euclidean metric. |
L2MetricFast | Implements a fast version of the L2 or Euclidean metric, by not taking the square root. |
L2MetricSparse | Implements the L2 or Euclidean metric, considering only those values for the distance calculation that have non-zero values for the first, second or both vectors, depending on the initialisation mode. |
L2MetricWeighted | |
LInfinityMetric | Implements the L-Infinity metric,defined for two vectors x and y as max( |xi-yi| ), i = 1,...,|x|. |
LnAlphaMetric | |
LnMetric | Generic Ln metric. |
MahalanobisMetric | Implements the Mahalanobis distance metric. |
Metrics | |
MissingValueMetricWrapper | A wrapper class around other distance metrics, modifying the distance computation in such a way that only vector
attributes that are not missing (indicated by InputData.MISSING_VALUE are considered.When instantiating using the empty constructor MissingValueMetricWrapper.MissingValueMetricWrapper() the default metric
MissingValueMetricWrapper.DEFAULT_METRIC is used. |
MnemonicSOMMetric | A metric for mnemonic SOMs. |
Enum Summary | |
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DistanceMetric.SparcseMetricModes |
Exception Summary | |
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MetricException | Is thrown if vectors with different dimensionalities are subject to mathematical operations. |
This package contains the metrics used for distance calculation during training and for mapping data onto maps.
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