Uses of Interface
org.apache.ignite.ml.math.distances.DistanceMeasure

Packages that use DistanceMeasure

Package	Description
org.apache.ignite.ml.clustering.kmeans	Contains kMeans clustering algorithm.
org.apache.ignite.ml.knn	Contains main APIs for kNN algorithms.
org.apache.ignite.ml.knn.ann	Contains main APIs for ANN classification algorithms.
org.apache.ignite.ml.knn.classification	Contains main APIs for kNN classification algorithms.
org.apache.ignite.ml.math.distances	Contains main APIs for distances.

Uses of DistanceMeasure in org.apache.ignite.ml.clustering.kmeans

Methods in org.apache.ignite.ml.clustering.kmeans that return DistanceMeasure

Modifier and Type	Method and Description
DistanceMeasure	KMeansModel.distanceMeasure() Distance measure.
DistanceMeasure	KMeansTrainer.getDistance() Gets the distance.
DistanceMeasure	KMeansModelFormat.getDistance()

Methods in org.apache.ignite.ml.clustering.kmeans with parameters of type DistanceMeasure

Modifier and Type	Method and Description
KMeansTrainer	KMeansTrainer.withDistance(DistanceMeasure distance) Set up the distance.

Constructors in org.apache.ignite.ml.clustering.kmeans with parameters of type DistanceMeasure

Constructor and Description
KMeansModel(Vector[] centers, DistanceMeasure distanceMeasure) Construct KMeans model with given centers and distanceMeasure measure.
KMeansModelFormat(Vector[] centers, DistanceMeasure distance)

Uses of DistanceMeasure in org.apache.ignite.ml.knn

Fields in org.apache.ignite.ml.knn declared as DistanceMeasure

Modifier and Type	Field and Description
protected DistanceMeasure	NNClassificationModel.distanceMeasure Distance measure.

Methods in org.apache.ignite.ml.knn that return DistanceMeasure

Modifier and Type	Method and Description
DistanceMeasure	NNClassificationModel.getDistanceMeasure()

Methods in org.apache.ignite.ml.knn with parameters of type DistanceMeasure

Modifier and Type	Method and Description
NNClassificationModel	NNClassificationModel.withDistanceMeasure(DistanceMeasure distanceMeasure) Set up parameter of the NN model.

Uses of DistanceMeasure in org.apache.ignite.ml.knn.ann

Methods in org.apache.ignite.ml.knn.ann that return DistanceMeasure

Modifier and Type	Method and Description
DistanceMeasure	ANNClassificationTrainer.getDistance() Gets the distance.

Methods in org.apache.ignite.ml.knn.ann with parameters of type DistanceMeasure

Modifier and Type	Method and Description
ANNClassificationTrainer	ANNClassificationTrainer.withDistance(DistanceMeasure distance) Set up the distance.

Constructors in org.apache.ignite.ml.knn.ann with parameters of type DistanceMeasure

Constructor and Description
ANNModelFormat(int k, DistanceMeasure measure, NNStrategy stgy, LabeledVectorSet<ProbableLabel,LabeledVector> candidates, ANNClassificationTrainer.CentroidStat candidatesStat) Creates an instance.

Uses of DistanceMeasure in org.apache.ignite.ml.knn.classification

Fields in org.apache.ignite.ml.knn.classification declared as DistanceMeasure

Modifier and Type	Field and Description
protected DistanceMeasure	KNNModelFormat.distanceMeasure Distance measure.

Methods in org.apache.ignite.ml.knn.classification that return DistanceMeasure

Modifier and Type	Method and Description
DistanceMeasure	KNNModelFormat.getDistanceMeasure() Gets distance measure.

Constructors in org.apache.ignite.ml.knn.classification with parameters of type DistanceMeasure

Constructor and Description
KNNModelFormat(int k, DistanceMeasure measure, NNStrategy stgy) Creates an instance.

Uses of DistanceMeasure in org.apache.ignite.ml.math.distances

Classes in org.apache.ignite.ml.math.distances that implement DistanceMeasure

Modifier and Type	Class and Description
class	EuclideanDistance Calculates the L2 (Euclidean) distance between two points.
class	HammingDistance Calculates the Hamming distance between two points.
class	ManhattanDistance Calculates the L1 (sum of abs) distance between two points.