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Ma’lumotlarning intellektual tahlili fanidan yakuniy nazoratda tushadigan savollar mazmunini akslantirgan savollar banki
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| bet | 10/14 | | Sana | 15.03.2023 | | Hajmi | 2.1 Mb. | | #45527 |
Bog'liq data mining yakiy savol javobi bilan VIZUAL, Taqdimot (8), @uqituvchiga hujjat Aniq fanlar metodbirlashmasi ish rejasiStep 1: Import libraries
import pandas as pdimport numpy as npimport matplotlib.pyplot as pltfrom sklearn.cluster import KMeans%matplotlib inline
As you can see from the above code, we’ll import the following libraries in our project:
Step 2: Generate random data
Here is the code for generating some random data in a two-dimensional space:
X= -2 * np.random.rand(100,2)X1 = 1 + 2 * np.random.rand(50,2)X[50:100, :] = X1plt.scatter(X[ : , 0], X[ :, 1], s = 50, c = ‘b’)plt.show()
A total of 100 data points has been generated and divided into two groups, of 50 points each.
Here is how the data is displayed on a two-dimensional space:
Step 3: Use Scikit-Learn
We’ll use some of the available functions in the Scikit-learn library to process the randomly generated data.
Here is the code:
from sklearn.cluster import KMeansKmean = KMeans(n_clusters=2)Kmean.fit(X)
In this case, we arbitrarily gave k (n_clusters) an arbitrary value of two.
Here is the output of the K-means parameters we get if we run the code:
KMeans(algorithm=’auto’, copy_x=True, init=’k-means++’, max_iter=300
n_clusters=2, n_init=10, n_jobs=1, precompute_distances=’auto’,
random_state=None, tol=0.0001, verbose=0)
Step 4: Finding the centroid
Here is the code for finding the center of the clusters:
Kmean.cluster_centers_
Here is the result of the value of the centroids:
array([[-0.94665068, -0.97138368],
[ 2.01559419, 2.02597093]])
Let’s display the cluster centroids (using green and red color).
plt.scatter(X[ : , 0], X[ : , 1], s =50, c=’b’)plt.scatter(-0.94665068, -0.97138368, s=200, c=’g’, marker=’s’)plt.scatter(2.01559419, 2.02597093, s=200, c=’r’, marker=’s’)plt.show()
Here is the output:
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Ma’lumotlarning intellektual tahlili fanidan yakuniy nazoratda tushadigan savollar mazmunini akslantirgan savollar banki
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