Distance matrix
The distance matrix is used not just for visualization, but for learning algorithms too. You can think of them as a column of collections, where each cell contains the difference between the previous rows.
The supported distance functions are the following:
- Real distances
-
Euclidean(
)
-
Manhattan (
)
-
Cosine (
)
-
Euclidean(
- Bitvector distances
- Tanimoto ()
- Dice ()
- Bitvector cosine ()
- Distance vector (assuming you already have a distance vector, you can ...
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