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DS-1000 / 885 / Given a distance matrix, with similarity between various fruits :

Problem

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Problem:

Given a distance matrix, with similarity between various fruits :

              fruit1     fruit2     fruit3
       fruit1     0        0.6     0.8
       fruit2     0.6      0       0.111
       fruit3     0.8      0.111     0
I need to perform hierarchical clustering on this data (into 2 clusters), where the above data is in the form of 2-d matrix

       simM=[[0,0.6,0.8],[0.6,0,0.111],[0.8,0.111,0]]
The expected number of clusters is 2. Can it be done using scipy.cluster.hierarchy? prefer answer in a list like [label1, label2, ...]

A:

<code>
import numpy as np
import pandas as pd
import scipy.cluster
simM = load_data()
</code>
cluster_labels = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
885
task_id
8184a519-cd32-51c7-88f0-d7804336d65d
task_key
default--test--885
task_revision_id
1
config / split
default / test

Official source

initial import