from sklearn.datasets import load

$\_$

iris

iris

$=$

$$load

$\_$

iris

$($

$)$

import numpy as np

import matplotlib.pyplot as plt

from sklearn.cluster import KMeans

feature

$=$

$$iris$.$data

X

$=$

$$feature

$[$

:

$,$

$[$

$2$

$,$

$3$

$]$

$]$

def plot

$\_$

kmeans

$($

n

$)$

:

~Code you need to write~

for i in range

$($

$1$

$,$

$5$

$)$

:

$$ plot

$\_$

kmeans

$($

i

$)$

Please find the appropriate number of clusters. You don't need to get numerical results.

You just need to complete the code to perform cluster analysis to the extent that you can see it with your eyes

No additional packages are used other than those given in the code.

In the form above

~Code you need to write~ Please fill in the part.

Cannot modify variables such as pre$-$written code ex$)$def plot$\_$kmeans$($n$)->$def plot$\_$kmeans$($n$\_$cluster$)($x$)$