June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Coding a hierarchical clustering algorithm
Let's learn how we can code a hierarchical algorithm in Python:
We will first import AgglomerativeClustering from the sklearn.cluster library, along with the pandas and numpy packages:
from sklearn.cluster import AgglomerativeClusteringimport pandas as pdimport numpy as np
Then we will create 20 data points in a two-dimensional problem space:
dataset = pd.DataFrame({ 'x': [11, 21, 28, 17, 29, 33, 24, 45, 45, 52, 51, 52, 55, 53, 55, 61, 62, 70, 72, 10], 'y': [39, 36, 30, 52, 53, 46, 55, 59, 63, 70, 66, 63, 58, 23, 14, 8, 18, 7, 24, 10]})
Then we create the hierarchical cluster by specifying the hyperparameters. We use the fit_predict function to actually process the algorithm:
cluster = AgglomerativeClustering(n_clusters=2, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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