final case classGradientAscent[Hasher <: HashingScalar](k: Int, knnBucketShift: Int, epsilon: Double, maxIterations: Int, bucketLayers: Int, bucketNumber: Int, propConvStopIter: Double, memoryExpensive: Boolean, hasher: Hasher, persistanceLVL: StorageLevel = StorageLevel.MEMORY_ONLY, alternativeVectorID: Int = Int.MaxValue, fonctionalStyle: Boolean = true) extends Serializable with Product
Hasher
Gradient Ascent LSH clustering
This algorithm could be used to analyse complex multivariate multidimensional data.
It can also be apply in order to analyse image, to use this features it is recommanded to convert image from RGB space to L*u*v* space
Gradient Ascent LSH clustering This algorithm could be used to analyse complex multivariate multidimensional data. It can also be apply in order to analyse image, to use this features it is recommanded to convert image from RGB space to L*u*v* space