KModes

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final def fit[D <: BinaryDistance, GS[Y] <: GenSeq[Y]](data: GS[Array[Int]], k: Int, metric: D, maxIterations: Int, minShift: Double): KModesModel[D]

Run the K-Modes with any binary distance

final def generateAnyAlgorithmArgumentsCombination[D <: BinaryDistance](kValues: Seq[Int] = Seq(4, 6, 8), metricValues: Seq[D] = Seq(Hamming), minShiftValues: Seq[Double] = Seq(0.0001), maxIterationsValues: Seq[Int] = Seq(100), initializedCentersValues: Seq[HashMap[Int, BinaryVector]] = ...): Seq[KModes[D]]

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit