org.alitouka.spark.dbscan

DbscanModel

class DbscanModel extends Serializable

Represents results calculated by DBSCAN algorithm.

This object is returned from org.alitouka.spark.dbscan.Dbscan.run method. You cannot instantiate it directly

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  1. final def !=(arg0: AnyRef): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. val allPoints: RDD[Point]

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. def clusteredPoints: RDD[Point]

    Returns points which were assigned to clusters

    Returns points which were assigned to clusters

    returns

  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. def noisePoints: RDD[Point]

    Returns only noise points

    Returns only noise points

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def predict(newPoint: Point): ClusterId

    Predicts which cluster a point would belong to

    Predicts which cluster a point would belong to

    newPoint

    A org.alitouka.spark.dbscan.PointCoordinates for which you want to make a prediction

    returns

    If the point can be assigned to a cluster, then this cluster's ID is returned. If the point appears to be a noise point, then org.alitouka.spark.dbscan.DbscanModel.NoisePoint is returned. If the point is surrounded by so many noise points that they can constitute a new cluster, then org.alitouka.spark.dbscan.DbscanModel.NewCluster is returned

  21. val settings: DbscanSettings

  22. final def synchronized[T0](arg0: ⇒ T0): T0

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  23. def toString(): String

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  24. final def wait(): Unit

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  25. final def wait(arg0: Long, arg1: Int): Unit

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  26. final def wait(arg0: Long): Unit

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