July 2020
Intermediate to advanced
550 pages
9h 58m
English
Solution:
from sklearn.datasets import make_blobs
from sklearn.cluster import KMeans
from sklearn.metrics import accuracy_score, silhouette_score
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from scipy.spatial.distance import cdist
import math
np.random.seed(0)
%matplotlib inline
seeds = pd.read_csv('Seed_Data.csv')
seeds.head()
The output is as follows:

Figure 1.25: Displaying the first five rows of the dataset