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Clusterflick

K-Nearest Neighbors · Machine Learning

🧠 K-NN Algorithm 👥 2-4 Players 🕐 ~30 Min
🌐
Beyond the Black Box
ML is a family - GenAI is just one branch
📍
Distance, Not Probability
K-NN classifies by similarity, no neural net needed
🧪
Data IS the Model
Every sample stays visible - no hidden weights
🧭
AI Fluency
Know which ML tool fits which job
Play Now · Free Online
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Goal: 8+ confidence for all 6 animals to win (6 rounds max).
Your Turn: 5 flicks from your corner zone - drag back like a slingshot.
📷 Identify: Token stays where it lands. Scores 5 / 3 / 2 / 1 pt by confidence band.
🎲 Add Samples: Once per round. If token lands in an animal zone, place that many sample squares in that zone, then the token is removed. After placing, you get a free Reflick of any identified token.
Sample Walls: Sample squares block tokens - flicked discs bounce off them.
Sample Bonus: +1 confidence per matching-animal square touching your token or in the same band.
Unclassified: Centre = 0 pts.
Doubled: One animal's points 2× each round (gold ⭐).
Board clears after every round.
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Round Schedule
Your Turn
Waiting for game to start…
Confidence Scores
Concept 1 of 4
Step 1 of 8

Setting up tutorial game…
Starting a practice match vs bot

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