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34 lines
1.0 KiB
34 lines
1.0 KiB
3 years ago
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# K-Means Clustering
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4 years ago
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3 years ago
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https://www.youtube.com/watch?v=hDmNF9JG3lo
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4 years ago
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3 years ago
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https://stanford.edu/~cpiech/cs221/handouts/kmeans.html
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3 years ago
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## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/27/)
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4 years ago
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Describe what we will learn
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### Introduction
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### Prerequisite
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### Preparation
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Preparatory steps to start this lesson
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✅ Knowledge Check - use this moment to stretch students' knowledge with open questions
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3 years ago
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## 🚀Challenge
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4 years ago
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## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/28/)
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4 years ago
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## Review & Self Study
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3 years ago
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Take a look at Stanford's K-Means Simulator [here](https://stanford.edu/class/engr108/visualizations/kmeans/kmeans.html). You can use this tool to visualize sample data points and determine its centroids. With fresh data, click 'update' to see how long it takes to find convergence. You can edit the data's randomness, numbers of clusters and numbers of centroids. Does this help you get an idea of how the data can be grouped?
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4 years ago
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**Assignment**: [Assignment Name](assignment.md)
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