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Customer Island

Master Clustering by Building the Perfect Store Locations!

Welcome to Customer Island! 🗺️

You're a retail consultant helping a company decide where to build new stores. Each dot represents a customer. Your job? Place stores where they'll best serve different customer groups!

This is exactly how K-means clustering works—finding the best centers for groups of similar data!

How to Play:

1️⃣ Choose how many stores to build (2, 3, or 4)

2️⃣ Click on the map to place your stores

3️⃣ See which customers shop at each store

4️⃣ Compare your placement to the optimal K-means solution

How Many Stores? 🏪

Look at the customer patterns below

Choose the number of stores:

50
Customers
-
Stores Selected

Place Your Stores! 📍

Click on the map to place 3 stores

0
Stores Placed
3
Remaining

🎉 Clustering Results!

Your placement vs. K-means clustering

Your Store Placement

Optimal K-means Clustering

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Avg Distance (You)
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Avg Distance (K-means)
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Efficiency

💡 What You Just Learned

Congratulations! You just performed K-means clustering!

  • 📊 Clustering groups similar data points together
  • 📍 K-means finds optimal center points for each cluster
  • 📏 It minimizes the total distance from points to centers
  • 🎯 Companies use this for customer segmentation!