Package org.tribuo.clustering.kmeans
Enum Class KMeansTrainer.Initialisation
java.lang.Object
java.lang.Enum<KMeansTrainer.Initialisation>
org.tribuo.clustering.kmeans.KMeansTrainer.Initialisation
- All Implemented Interfaces:
Serializable
,Comparable<KMeansTrainer.Initialisation>
,Constable
- Enclosing class:
- KMeansTrainer
Possible initialization functions.
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Nested Class Summary
Nested classes/interfaces inherited from class java.lang.Enum
Enum.EnumDesc<E extends Enum<E>>
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Enum Constant Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic KMeansTrainer.Initialisation
Returns the enum constant of this class with the specified name.static KMeansTrainer.Initialisation[]
values()
Returns an array containing the constants of this enum class, in the order they are declared.
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Enum Constant Details
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RANDOM
Initialize centroids by choosing uniformly at random from the data points. -
PLUSPLUS
KMeans++ initialisation.
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Method Details
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values
Returns an array containing the constants of this enum class, in the order they are declared.- Returns:
- an array containing the constants of this enum class, in the order they are declared
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valueOf
Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)- Parameters:
name
- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException
- if this enum class has no constant with the specified nameNullPointerException
- if the argument is null
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