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.utils	Contains util functionality for kNN algorithms.
org.apache.ignite.ml.knn.utils.indices	Contains utils functionality for indices in kNN 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	KNNTrainer.distanceMeasure Distance measure.
protected DistanceMeasure	KNNModel.distanceMeasure Distance measure.
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
Self	KNNTrainer.withDistanceMeasure(DistanceMeasure distanceMeasure) Sets up distanceMeasure parameter.
NNClassificationModel	NNClassificationModel.withDistanceMeasure(DistanceMeasure distanceMeasure) Set up parameter of the NN model.

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

Constructor and Description
KNNModel(Dataset<EmptyContext,SpatialIndex<L>> dataset, DistanceMeasure distanceMeasure, int k, boolean weighted) Constructs a new instance of KNN model.
KNNPartitionDataBuilder(Preprocessor<K,V> preprocessor, SpatialIndexType spatialIdxType, DistanceMeasure distanceMeasure) Constructs a new instance of KNN partition data builder.

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

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

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

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

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

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 distanceMeasure, boolean weighted, LabeledVectorSet<LabeledVector> candidates, ANNClassificationTrainer.CentroidStat candidatesStat) Creates an instance.
KNNModelFormat(int k, DistanceMeasure measure, boolean weighted) Creates an instance.

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

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

Modifier and Type	Method and Description
static <L> void	PointWithDistanceUtil.tryToAddIntoHeap(Queue<PointWithDistance<L>> heap, int k, Vector pnt, List<LabeledVector<L>> dataPnts, DistanceMeasure distanceMeasure) Util method that adds data points into heap if they fits (if heap size is less than k or a distance from taget point to data point is less than a distance from target point to the most distant data point in heap).

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

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

Constructor and Description
ArraySpatialIndex(List<LabeledVector<L>> data, DistanceMeasure distanceMeasure) Construct a new array spatial index.
BallTreeSpatialIndex(List<LabeledVector<L>> data, DistanceMeasure distanceMeasure) Constructs a new instance of Ball tree spatial index.
KDTreeSpatialIndex(List<LabeledVector<L>> data, DistanceMeasure distanceMeasure) Constructs a new instance of KD tree spatial index.

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.