BaseGeoKMeans

abstract def initializePoints(points: Iterable[V], k: Int): Iterable[IGeoPoint]

Get initialized k center points

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def apply(points: Iterable[V], k: Int, maxStepCount: Int = 100): ClusterResult[Int, V]

Do k-means training algorithm

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def kChangedEvent(currentK: Int, lastK: Int): Unit

Happened if K has changed while iteration

def lossOutput(currentStep: Int, lossValue: Double, pointCount: Int): Unit

Print loss and step information to console, override it to output to another place

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