Uses of Interface
org.apache.flink.ml.clustering.kmeans.KMeansModelParams

Packages that use KMeansModelParams

Package	Description
org.apache.flink.ml.clustering.kmeans

Uses of KMeansModelParams in org.apache.flink.ml.clustering.kmeans

Subinterfaces of KMeansModelParams in org.apache.flink.ml.clustering.kmeans

Modifier and Type	Interface and Description
interface	KMeansParams<T> Params of KMeans.
interface	OnlineKMeansParams<T> Params of OnlineKMeans.

Classes in org.apache.flink.ml.clustering.kmeans that implement KMeansModelParams

Modifier and Type	Class and Description
class	KMeans An Estimator which implements the k-means clustering algorithm.
class	KMeansModel A Model which clusters data into k clusters using the model data computed by KMeans.
class	OnlineKMeans OnlineKMeans extends the function of KMeans, supporting to train a K-Means model continuously according to an unbounded stream of train data.
class	OnlineKMeansModel OnlineKMeansModel can be regarded as an advanced KMeansModel operator which can update model data in a streaming format, using the model data provided by OnlineKMeans.