trait Clusterer extends AnyRef
The Clusterer
trait provides a common framework for several clustering
algorithms.
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abstract
def
classify(y: VectorD): Int
Given a new point/vector y, determine which cluster it belongs to.
Given a new point/vector y, determine which cluster it belongs to.
- y
the vector to classify
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abstract
def
cluster(): Array[Int]
Given a set of points/vectors, put them in clusters, returning the cluster assignment vector.
Given a set of points/vectors, put them in clusters, returning the cluster assignment vector. A basic goal is to minimize the sum of the distances between points within each cluster.
Concrete Value Members
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final
def
##(): Int
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eq(arg0: AnyRef): Boolean
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finalize(): Unit
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def
getClass(): Class[_]
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def
getName(i: Int): String
Get the name of the i-th cluster.
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
name_(n: Array[String]): Unit
Set the names for the clusters.
Set the names for the clusters.
- n
the array of names
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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