case class Cluster(c: Int = Cluster.next (), np: Int = 0) extends Error with Product with Serializable
The Cluster case class maintains information about clusters, the
cluster id, center/centroid, cluster size, and measure of error.
Note: the cluster assignment function as an array 'to_c' indicates how
points are assigned to clusters.
- c
the cluster id
- np
the number of points in the cluster (size)
- See also
package.scalafor the definition of the 'distance' method
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new
Cluster(c: Int = Cluster.next (), np: Int = 0)
- c
the cluster id
- np
the number of points in the cluster (size)
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- val c: Int
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def
cen: VectoD
Return the stored centroid for this cluster.
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def
cenf(x: MatriD, to_c: Array[Int]): VectoD
Calculate the centroid for this cluster.
Calculate the centroid for this cluster.
- x
the data matrix where each row is a data point
- to_c
the data point assignment function
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- var np: Int
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def
set_cen(cn: VectoD): Unit
Set the centroid for this cluster.
Set the centroid for this cluster.
- cn
the calculated centroid
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def
set_sse(ss: Double): Unit
Set the sum of squared error for this cluster.
Set the sum of squared error for this cluster.
- ss
the calculated sum of squared errors
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def
sse: Double
Return the stored sum of squared errors for this cluster.
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def
ssef(x: MatriD, to_c: Array[Int], cn: VectoD = cen): Double
Calculate the sum of squared errors for this cluster.
Calculate the sum of squared errors for this cluster.
- x
the data matrix where each row is a data point
- to_c
the data point assignment function
- cn
the hypothetical centroid (defaults to current centroid)
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