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 |