Approaches range from classical line‐simplification algorithms to advanced semantic compression methods that incorporate clustering and multi-resolution analysis.

Fuzzy clustering was compared with the classification produced by TWINSPAN. (3) The first division of TWINSPAN contrasted species of wet environments (Agrostis canina, Sphagnum recurvum, Polytrichum ...

We develop a flexible model-based procedure for clustering functional data. The technique can be applied to all types of curve data but is particularly useful when individuals are observed at a sparse ...