CODEWITHSUNDEEP
pythonscipycluster-analysis
MSP430G2553
MSP430G2553

Reputation: 1

2 Dendrograms + Heatmap from condensed correlationmatrix with scipy

I try to create something like this: plotting results of hierarchical clustering ontop of a matrix of data in python

Unfortunatelly when I try to execute the code, I get the following warnings:

Warning (from warnings module):
  File "C:\Users\USER1\Desktop\test.py", line 15
    Y = sch.linkage(D, method='centroid')
ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix

Warning (from warnings module):
  File "C:\Users\USER1\Desktop\test.py", line 22
    Y = sch.linkage(D, method='single')
ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix

In addition, a small window opens but crashes ...

Upvotes: 0

Views: 889

Answers (1)

Warren Weckesser
Warren Weckesser

Reputation: 114781

That code that you linked to has a problem: it passes the square distance matrix to linkage. The first argument of linkage has been a frequent source of confusion, so in recent versions of scipy, the code generates a warning if something that looks like a square distance matrix is passed in.

You'll have to modify your code to not pass a square distance matrix to linkage. If you already have a such a matrix, you can convert it to the condensed form expected by linkage with the function scipy.spatial.distance.squareform.

To avoid further confusion, I updated the code in the linked answer so that it passes a condensed distance matrix to linkage.

Upvotes: 1

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