# clustering Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/clustering
> Markdown URL: https://aitinkerers.org/technologies/clustering.md
> Technology record last updated: 2026-03-13T13:39:51Z
> Generated: 2026-09-23T00:36:57Z

Unsupervised machine learning: automatically groups similar data points into distinct clusters for pattern recognition and structure discovery.

Clustering is an unsupervised machine learning technique: it automatically partitions unlabeled data into meaningful groups (clusters) where internal similarity is maximized. We use algorithms like K-Means (a centroid-based method) and DBSCAN (a density-based approach) to execute this. Applications are broad and high-value: from segmenting a customer base for targeted marketing strategies to identifying anomalies in network traffic or financial transactions. It’s a critical technique for exploratory data analysis (EDA) and preprocessing large datasets.

- Official technology site: https://scikit-learn.org/stable/modules/clustering.html
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [How We Build Pipelines to Detect Product Issues and Fix Them with Coding Agents](https://prague.aitinkerers.org/talks/rsvp_C35CGsy9rLA)

I'll walk through how we built a pipeline that detects product issues from multiple data sources (session recordings, error logs, support tickets, LLM traces) and routes them to coding agents that generate PRs. * Step 1: Signal. Render videos from session recordings, transcribe them, and analyze, searching for issues. * Step 2: Cluster. Group signals from different sources and decide what’s worth fixing. * Step 3: Code. Preview of Twig ADE (AI Development Environment), where confirmed tasks get handed off to coding agents.

- Event context: Product Engineering: Apify x PostHog — 2026-02-26 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_C35CGsy9rLA

### [News x Dilbert: Using AI to Curate Comics for Today's News](https://hong-kong.aitinkerers.org/talks/rsvp_uVr4OwbRNbI)

Matching today’s news headlines with the most relevant Dilbert comic strip from over 35 years of archives. This is a hobbyist project to showcase how AI technology can be applied.

- Event context: AI Tinkerers Hong Kong with AWS Meetup — September 29, 2025 — 2025-09-29 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_uVr4OwbRNbI

### [Vector Data Exploration](https://mumbai.aitinkerers.org/talks/rsvp_Pl0RJmTx2CY)

This demo will show how to use AI (specifically vector embeddings and LLMs) to visualize ANY kind data in a novel way, combining cutting-edge techniques in data processing, embedding, clustering, labeling and visualization. There will also be an interactive demo that anyone can try through their phone or laptop.

- Event context: 🚀 AI Tinkerers Mumbai Chapter Launch! — 2024-10-05 — Mumbai
- Public talk page: https://mumbai.aitinkerers.org/talks/rsvp_Pl0RJmTx2CY

## Related Technologies

- [Agentic](https://aitinkerers.org/technologies/agentic) ([Markdown](https://aitinkerers.org/technologies/agentic.md)) — 3 public demos
- [ChromaDB](https://aitinkerers.org/technologies/chromadb) ([Markdown](https://aitinkerers.org/technologies/chromadb.md)) — 10 public demos
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 216 public demos
- [Data processing](https://aitinkerers.org/technologies/data-processing) ([Markdown](https://aitinkerers.org/technologies/data-processing.md)) — 1 public demo
- [Embeddings](https://aitinkerers.org/technologies/embeddings) ([Markdown](https://aitinkerers.org/technologies/embeddings.md)) — 22 public demos
- [Gemini 3](https://aitinkerers.org/technologies/gemini-3) ([Markdown](https://aitinkerers.org/technologies/gemini-3.md)) — 8 public demos
- [image-to-text](https://aitinkerers.org/technologies/image-to-text) ([Markdown](https://aitinkerers.org/technologies/image-to-text.md)) — 3 public demos
- [KMeans](https://aitinkerers.org/technologies/kmeans) ([Markdown](https://aitinkerers.org/technologies/kmeans.md)) — 2 public demos
- [LLMs](https://aitinkerers.org/technologies/llms) ([Markdown](https://aitinkerers.org/technologies/llms.md)) — 83 public demos
- [OCR](https://aitinkerers.org/technologies/ocr) ([Markdown](https://aitinkerers.org/technologies/ocr.md)) — 10 public demos
- [Opus 4](https://aitinkerers.org/technologies/opus-4) ([Markdown](https://aitinkerers.org/technologies/opus-4.md)) — 10 public demos
- [Qwen](https://aitinkerers.org/technologies/qwen) ([Markdown](https://aitinkerers.org/technologies/qwen.md)) — 18 public demos
- [Temporal](https://aitinkerers.org/technologies/temporal) ([Markdown](https://aitinkerers.org/technologies/temporal.md)) — 10 public demos
- [Twig ADE](https://aitinkerers.org/technologies/twig-ade) ([Markdown](https://aitinkerers.org/technologies/twig-ade.md)) — 1 public demo
- [Vector embeddings](https://aitinkerers.org/technologies/vector-embeddings) ([Markdown](https://aitinkerers.org/technologies/vector-embeddings.md)) — 4 public demos
- [Vector Search](https://aitinkerers.org/technologies/vector-search) ([Markdown](https://aitinkerers.org/technologies/vector-search.md)) — 12 public demos
- [Video Understanding](https://aitinkerers.org/technologies/video-understanding) ([Markdown](https://aitinkerers.org/technologies/video-understanding.md)) — 3 public demos
- [Visualization](https://aitinkerers.org/technologies/visualization) ([Markdown](https://aitinkerers.org/technologies/visualization.md)) — 3 public demos