Abhishek
Abhishek

Reputation: 473

How can we Visualizing MultiDimensional data clustered?

I have dataset of 100+ dimensions and I used PRECOMPUTED correlation as distance metric.

` from sklearn import metrics

from sklearn.datasets.samples_generator import make_blobs

af = AffinityPropagation(affinity='precomputed').fit(my_distanceMetric_as_correlationMatrix)

cluster_centers_indices = af.cluster_centers_indices_

labels = af.labels_ ` Now I can see the data in different clusters but I would like to visualize these clusters. So I request your support.

Upvotes: 0

Views: 405

Answers (1)

willk
willk

Reputation: 3817

You can download the .whl file from http://www.lfd.uci.edu/~gohlke/pythonlibs/#cvxopt

(ctrl-f for scikit-learn and choose the appropriate version.)

Place the downloaded file in your current working directory, and install using

pip install filename

in my case the filename is scikit_learn‑0.18.1‑cp27‑cp27m‑win_amd64.whl

Upvotes: 1

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