Clustering — Complete Guide
Clustering — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of ML.NET Tutorial on Toolliyo Academy.
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ML.NET Tutorial · Lesson 13 of 100
Clustering
Foundations → Models → NLP & advanced → MLOps
Foundations · 1 — Context & data · ~6 min · Module 2: Machine Learning Basics
What is this?
Clustering groups similar rows without labels — useful for segments and anomalies.
Why should you care?
AIPredict customer analytics clusters behavior when labels are weak.
See it live — copy this example
Use a .NET console or Web API project with Microsoft.ML. Run dotnet run after pasting.
var pipeline = ml.Transforms.Concatenate("Features", "Recency", "Frequency", "Monetary")
.Append(ml.Clustering.Trainers.KMeans(numberOfClusters: 4));
var model = pipeline.Fit(data);What happened?
- No Label column.
- Choose k carefully.
- Interpret clusters with business names afterward.
Practice next
- Build RFM features.
- KMeans k=4.
- Assign cluster ids to sample users.
- Try k=3 and k=6.
- Chart cluster sizes.
Remember
Unsupervised groups. Pick k thoughtfully. Name clusters later.
AIPredict RFM clusters
Marketing gets four spend segments.
Outcome: Campaigns target clusters, not one blast.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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