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```
# Init
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns; sns.set()
# Load data
from sklearn.datasets import load_diabetes
# Clustering
from scipy.clus…
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1) we define an internal slot that indicated what was the clustering with which the dendrograms were made, so that you could ‘safely’ keep around a dendrogram that didn’t match the primaryCluster. The…
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I'm wondering if it is possible to get a tree-like structure of the resulting clustering. What I'm ultimately trying to do is to get a dendogram overlaid on top of a heat map (e.g. seaborn.clustermap)…
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Hi,
First, thank you for this awesome implementation of HDBSCAN. It is certainly one of the best and most generic clustering algorithm and having this high performance implementation is cool with Sci…
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When a matrix is supplied to `scipy.cluster.hierarchy.linkage(Distance_matrix, method="centroid")`, it will mostly fail without any error message, but terminate the Python process with a cryptic exit …
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If we change the primaryClusterIndex, should it delete the dendrograms? What about other steps that change the primaryCluster? Any new clustering that creates new primaryIndex would need to be consist…
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I am using dendextend to cut my hierarchical clustering dendrograms and want to split the heatmap accordingly. Can I use Heatmap to do this? I know I can do this if I subset the matrix and plot the he…
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Update the following URL to point to the GitHub repository of
the package you wish to submit to _Bioconductor_
- Repository: https://github.com/brianbennettphd/goSTAG
Confirm the following by e…
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we gotta put it back. I'm leaving this as a reminder
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```
Purpose of code changes on this branch:
The current HAC implementation provides only the final clustering output, but
doesn't provide access into the full dendrogram that may have been built. T…