axle.visualize

KMeansVisualizationModule

trait KMeansVisualizationModule extends KMeansModule

Linear Supertypes
KMeansModule, FeatureNormalizerModule, MatrixModule, AnyRef, Any
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Inherited
  1. KMeansVisualizationModule
  2. KMeansModule
  3. FeatureNormalizerModule
  4. MatrixModule
  5. AnyRef
  6. Any
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Type Members

  1. abstract type C[T]

    Definition Classes
    MatrixModule

  2. trait FeatureNormalizer extends AnyRef

    Definition Classes
    FeatureNormalizerModule

  3. class IdentityFeatureNormalizer extends FeatureNormalizer

    Definition Classes
    FeatureNormalizerModule

  4. case class KMeansClassifier[T] extends Classifier[T, Int] with Product with Serializable

    Definition Classes
    KMeansModule

  5. case class KMeansVisualization[D](classifier: KMeansVisualizationModule.KMeansClassifier[D], w: Int = 600, h: Int = 600, border: Int = 50, pointDiameter: Int = 10, fontName: String = "Courier New", fontSize: Int = 12) extends JPanel with Product with Serializable

  6. class LinearFeatureNormalizer extends FeatureNormalizer

    Definition Classes
    FeatureNormalizerModule

  7. abstract type Matrix[T] <: MatrixLike[T]

    Definition Classes
    MatrixModule

  8. trait MatrixLike[T] extends AnyRef

    Definition Classes
    MatrixModule

  9. class PCAFeatureNormalizer extends FeatureNormalizer

    Definition Classes
    FeatureNormalizerModule

  10. class ZScoreFeatureNormalizer extends FeatureNormalizer

    Definition Classes
    FeatureNormalizerModule

Abstract Value Members

  1. abstract def centerColumns(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  2. abstract def centerRows(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  3. abstract def columnRange(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  4. implicit abstract val convertBoolean: C[Boolean]

    Definition Classes
    MatrixModule

  5. implicit abstract val convertDouble: C[Double]

    Definition Classes
    MatrixModule

  6. implicit abstract val convertInt: C[Int]

    Definition Classes
    MatrixModule

  7. abstract def cov(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  8. abstract def eye[T](n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  9. abstract def matrix[T](m: Int, n: Int, f: (Int, Int) ⇒ T)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  10. abstract def matrix[T](m: Int, n: Int, topleft: ⇒ T, left: (Int) ⇒ T, top: (Int) ⇒ T, fill: (Int, Int, T, T, T) ⇒ T)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  11. abstract def matrix[T](m: Int, n: Int, values: Array[T])(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  12. abstract def numComponentsForCutoff(s: Matrix[Double], cutoff: Double): Int

    Definition Classes
    MatrixModule

  13. abstract def ones[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  14. abstract def pca(Xnorm: Matrix[Double], cutoff: Double): (Matrix[Double], Matrix[Double])

    Definition Classes
    MatrixModule

  15. abstract def rowRange(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  16. abstract def std(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  17. abstract def sumsq(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

  18. abstract def zeros[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]

    Definition Classes
    MatrixModule

  19. abstract def zscore(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

Concrete Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  5. def classifier[T](data: Seq[T], N: Int, featureExtractor: (T) ⇒ Seq[Double], constructor: (Seq[Double]) ⇒ T, K: Int, iterations: Int)(implicit arg0: Eq[T], space: MetricSpace[Matrix[Double], Double]): KMeansClassifier[T]

    Definition Classes
    KMeansModule

  6. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. implicit def enComponentKMeansClassifier[T](classifier: KMeansClassifier[T]): Component

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

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. def hilb(n: Int): Matrix[Double]

    Definition Classes
    MatrixModule

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  15. def median(m: Matrix[Double]): Matrix[Double]

    Definition Classes
    MatrixModule

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

    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  20. def toString(): String

    Definition Classes
    AnyRef → Any

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from KMeansModule

Inherited from FeatureNormalizerModule

Inherited from MatrixModule

Inherited from AnyRef

Inherited from Any

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