How to make a clustermap using seaborn?
This recipe helps you make a clustermap using seaborn
Recipe Objective
How to make a clustermap using seaborn.
Clustermap to order the data by similarity this method uses hierarchical clusters, it also recognizes the data for the rows and columns and displays similar content next to one another for even more depth of understanding the data.
Step 1 - Import the necessary libraries
import seaborn as sns
Step 2 - load the dataset
iris_data = sns.load_dataset('iris')
iris_data.head()
Step 3 - Plot the Clustermap
pop_data = iris_data.pop("species")
sns.clustermap(iris_data)
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I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More
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