Displaying 2 results from an estimated 2 matches for "hdbscan".
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dbscan
2016 Nov 15
0
New Package: largeVis
...lumns. LargeVis is also insensitive to hyperparameter changes, which is important when running on large datasets that take time to compute.
- Very fast approximate nearest neighbor search. I believe it to be the fastest nearest neighbor search available for R.
- A fast implementation of the HDBSCAN clustering algorithm. HDBSCAN is a density-based clustering similar to DBSCAN and OPTICS (which are also implemented), but HDBSCAN allows the density threshold for clusters to vary. This makes it insensitive to hyperparameter changes and more flexible than either DBSCAN or OPTICS.
There are other...
2016 Nov 15
0
New Package: largeVis
...lumns. LargeVis is also insensitive to hyperparameter changes, which is important when running on large datasets that take time to compute.
- Very fast approximate nearest neighbor search. I believe it to be the fastest nearest neighbor search available for R.
- A fast implementation of the HDBSCAN clustering algorithm. HDBSCAN is a density-based clustering similar to DBSCAN and OPTICS (which are also implemented), but HDBSCAN allows the density threshold for clusters to vary. This makes it insensitive to hyperparameter changes and more flexible than either DBSCAN or OPTICS.
There are other...