Closed cod3r0k closed 5 months ago
Hi @cod3r0k, I don't know what is the gaussian.mat
dataset, could you be more specific? Also, by "decision graph" do you refer to a dendrogram visualisation? If so, then you should use the get_dendrogram
function as illustrated in this tutorial https://dadapy.readthedocs.io/en/latest/jupyter_example_1.html
Hi @cod3r0k, I don't know what is the
gaussian.mat
dataset, could you be more specific? Also, by "decision graph" do you refer to a dendrogram visualisation? If so, then you should use theget_dendrogram
function as illustrated in this tutorial https://dadapy.readthedocs.io/en/latest/jupyter_example_1.html
Hi @AldoGl , it is located at https://github.com/jasonyanglu/SMCL/tree/master/dataset .
No, the decision graph is related to a specific graph which shows its local density vs its upper distance.
I found sth (https://github.com/sissa-data-science/DADApy/blob/048be82b61a6d5d4ee129f55898f42a5cc943147/dadapy/plot.py#L181) but I don't know how to use it.
On the link that @AldoGl gave you (https://dadapy.readthedocs.io/en/latest/jupyter_example_1.html), there is an example of the use of the Decision Graph plotting function. Just take a look to the Classical Density Peaks clustering section.
I want to work with
gaussian.mat
dataset and create a decision graph of Density Peak Clustering. What should I do now?