ndarray-simd/com.martmists.ndarray.simd.math

Package-level declarations

Types

Link copied to clipboard
typealias Cluster = List<F64FlatArray>

Functions

Link copied to clipboard
fun clusterKMeans(k: Int, points: Array<F64Array>): Map<F64FlatArray, Cluster>
fun clusterKMeans(k: Int, points: Array<F64FlatArray>): Map<F64FlatArray, Cluster>
@JvmName(name = "clusterKMeansND")
fun clusterKMeans(k: Int, points: List<F64Array>): Map<F64FlatArray, Cluster>
fun clusterKMeans(k: Int, points: List<F64FlatArray>): Map<F64FlatArray, Cluster>

Cluster the points into k clusters using K-means clustering.

Link copied to clipboard
fun F64ImageArray.convolve(kernel: F64TwoAxisArray): F64ImageArray

Convolves this array with some kernel.

Link copied to clipboard
fun pca(k: Int, points: List<F64FlatArray>): List<F64FlatArray>

Reduces dimensionality of points to k dimensions using PCA.