Principal Coordinates Analysis · Start with two-way array of objects (rows) by variables (columns · Construct a distance or similarity matrix for the objects on ... ... <看更多>

Principal coordinate analysis is essentially a PCA with some transformations that make it suitable for non-metric distances where negative ... ... <看更多>

You can access the transformed sample coordinates with OrdinationResults.samples . This will return a pandas.DataFrame row-indexed by sample ... ... <看更多>

An algorithm may (non-metric MDS) or may not (metric MDS) include monotonic transformation on this way. PCA-based MDS (Torgerson's, or PCoA) is not straight. It ... ... <看更多>