Question

In Python, how do I load the iris data and put the first 4 attributes into X and the class attribute into y. Chegg's rules do not permit me to paste a link to a site with the iris toy dataset. However, the first few rows look like the chart below. After this, I will be applying a K-means algorithm to split it into 3 clusters. Thanks, Monica

5.1,3.5,1.4,0.2,1
4.9,3.0,1.4,0.2,1
4.7,3.2,1.3,0.2,1
4.6,3.1,1.5,0.2,1
5.0,3.6,1.4,0.2,1
5.4,3.9,1.7,0.4,1
4.6,3.4,1.4,0.3,1
5.0,3.4,1.5,0.2,1

Answer 1

from sklearn import datasets

#importing dataset
iris = datasets.load_iris()
X = iris.data[:,[0,1,2,3]] # extracting rows
Y = iris.target
#Applying kmeans
from sklearn.cluster import KMeans
kmeans = KMeans(n_clusters = 3,init = 'k-means++',max_iter = 300,n_init = 10, random_state = 0)
y_kmeans = kmeans.fit_predict(X)
print(Y)
print(y_kmeans)

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