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Apply NowYou are given an array of points of size 300x2 in the file /cxldata/mltut/points.csv in CSV format.
Each row in this file gives the (x, y) coordinates of a point on a map. Make a scatter plot of these points as per the instructions given below, and use the scatter plot to guess how many clusters there are.
Given a CSV file in the folder /cxldata/mltut/points.csv. You can load as a DataFrame in the notebook using pandas using the following way:
import pandas as pd
pointsdf = pd.read_csv("/cxldata/mltut/points.csv");
Now, convert it into a numpy array
import numpy as np
points = np.array(pointsdf)
Create an array called xs that contains the values of points[:,0] - that is, column 0 of points.
your code comes here
Create an array called ys that contains the values of points[:,1] - that is, column 1 of points.
your code comes here
You can import it in the following way:
import matplotlib.pyplot as plt
Make a scatter plot by passing xs and ys to the plt.scatter() function. Call the plt.show() function to show your plot.
your code comes here
How many clusters do you see?
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