Clustering

https://developers.google.com/machine-learning/clustering

OverView

https://developers.google.com/machine-learning/clustering/overview

similarity measure

Algorithm, K-Means

https://developers.google.com/machine-learning/glossary#k-means

https://developers.google.com/machine-learning/clustering/algorithm/run-algorithm

Work-Flow

• Prepare data, Z-cores normalization 

https://developers.google.com/machine-learning/clustering/prepare-data

• Similarity measure 

https://developers.google.com/machine-learning/clustering/similarity/measuring-similarity

• Apply K-means with a similarity measure, exercise 

Dataset: Mall Customer segmentation

https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python

Code

https://www.kaggle.com/code/funxexcel/p1-sklearn-k-means-example

kmeans = cluster.KMeans(n_clusters=5 ,init="k-means++")

   kmeans = kmeans.fit(df[['Spending_Score','Income']])