npm

ml-matrix

Matrix manipulation and computation library

ml-distance

Distance and similarity functions to compare vectors

ml-stat

Functions for computing stats on arrays and matrices

ml-svm

Support Vector Machine in Javascript

ml-kmeans

K-Means clustering

ml-array-utils

Array utilities

ml-hclust

Hierarchical clustering algorithms

ml-savitzky-golay

Savitzky–Golay filter

ml-fnn

feedforward neural networks library

ml-knn

k-nearest neighbors algorithm

ml-naivebayes

Naive bayes library

ml-pls

Partial least squares library

ml-pca

Principal component analysis

ml-optimize-lorentzian

Optimize Lorentzian

ml-regression

Regression algorithms

ml-curve-fitting

Levenberg Marquardt curve-fitting: minimize sum of weighted squared residuals

ml-gsd

Global Spectra Deconvolution

ml-gaussian-kernel

The gaussian (radial basis function) kernel

ml-kernel

A factory for kernel functions

ml-polynomial-kernel

The polynomial kernel

ml-binary-search

Binary search algorithm for sorted arrays

ml-hash-table

Open addressing hash table

ml-sparse-matrix

Sparse matrix library

ml-performance

Library providing tools to evaluate the performance of a classifier using for example ROC curves

ml-dataset-iris

Iris flower data set