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

Package-level declarations

Types

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typealias Cluster = List<F64FlatArray>

Functions

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fun clusterKMeans(k: Int, points: Array<F64Array>): Map<F64FlatArray, Cluster>
fun clusterKMeans(k: Int, points: Array<F64FlatArray>): Map<F64FlatArray, Cluster>
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.

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fun F64ImageArray.convolve(kernel: F64TwoAxisArray): F64ImageArray

Convolves this array with some kernel.

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fun pca(k: Int, points: List<F64FlatArray>): List<F64FlatArray>

Reduces dimensionality of points to k dimensions using PCA.