API reference


hypertools.plot(x[, fmt, marker, markers, …]) Plots dimensionality reduced data and parses plot arguments


hypertools.tools.align(data[, method, …]) Aligns a list of arrays
hypertools.tools.reduce(x[, ndims, model, …]) Reduces dimensionality of an array, or list of arrays
hypertools.tools.cluster(x[, n_clusters, ndims]) Performs k-means clustering and returns a list of cluster labels
hypertools.tools.normalize(x[, normalize, …]) Z-transform the columns or rows of an array, or list of arrays
hypertools.tools.describe_pca(x[, show]) Create plot describing covariance with as a function of number of dimensions
hypertools.tools.procrustes(source, target) Function to project from one space to another using Procrustean transformation (shift + scaling + rotation + reflection).
hypertools.tools.missing_inds(x) Returns indices of missing data
hypertools.tools.load(dataset[, ndims, align]) Load example data