Is there any interest in an implementation of OPTICS [1] for
sklearn.cluster?
As part of our thesis work we've extended the cluster package to include
the OPTICS algorithm which returns an ordering and reachability distances
for the input samples. We're also planning on extracting actual clusters by
using various heuristics; e.g. using the method described in [2].
References:
[1] Ankerst, Mihael, Markus M. Breunig, Hans-Peter Kriegel, and Jörg Sander.
"OPTICS: ordering points to identify the clustering structure." ACM
SIGMOD
Record 28, no. 2 (1999): 49-60.
[2] Sander, Jörg, Xuejie Qin, Zhiyong Lu, Nan Niu, and Alex Kovarsky.
"Automatic extraction of clusters from hierarchical clustering
representations." Advances in Knowledge Discovery and Data Mining
(2003):
567-567.
// Fredrik Appelros and Carl Ekerot
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