ml.js

knn

A k-nearest neighboor classifier algorithm.

kmeans

K-Means clustering

regression-multivariate-linear

Multivariate linear regression

curve-fitting

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

confusion-matrix

Confusion matrix for supervised classification

savitzky-golay-generalized

General Least-Squares Smoothing and Differentiation by the Convolution (Savitzky-Golay) Method Peter A. Gorry

pls

PLS regression algorithm

convolution

Convolution using the FFT or direct algorithm.

dbscan

distance-euclidean

Compute the euclidean distance between two vectors

floyd-warshall

Algorithm for finding shortest paths in a weighted graph with positive or negative edge weights (but with no negative cycles)

nmf

Non-negative Matrix Factorization (NMF)

airpls

Baseline correction using adaptive iteratively reweighted penalized least squares

dataset

dataset for multivariate analysis

ml-pipe

pcr

regression-theil-sen

Method for robust fitting a line to a set of points

statistics

baseline-correction-regression

Iterative regression-based baseline correction.

dataset-metadata

a class to manipulate metadata for statistical analysis

regression-base

Base class for regression packages

regression-polynomial-2d

affine-transform

Get and apply affine transform to 2D points

directional-distribution

integral-transforms

linear-sum-assignment

Package to perform a linear sum assignment even if the cost matrix is rectangular.

nnls

Non-Negative Least-Squares

ransac

roc-multiclass

rolling-ball-baseline

rolling ball baseline correction