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Machine Learning: The Engineering Approach
Module 3 of 13
3. Unsupervised: Clustering
1. K-Means
Finding groups in data without labels.
- Pick K random centers.
- Assign points to nearest center.
- Move center to average of points.
- Repeat.
2. PCA (Dimensionality Reduction)
Squashing 100 columns into 2 columns while keeping the "essence" (variance) of the data. Use this to visualize high-dimensional data.