Unsupervised Learning

Summary: Unsupervised Learning! Principle components analysis Clustering K-means Clustering Algorithm: Assign data points to a group Iterate through until no change: Find centroid Find the point that is closest to the centroids. Assign that data point to the corresponding group of the centroids. How Many Groups The art of chosing K. Hierarchical Clustering Bottom-up hierarchical groups can be read out from the dendrogram.

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Unsupervised Learning

3 Unsupervised Learning: SVM

2 Unsupervised Learning: PCA

1 Unsupervised Learning

³ Unsupervised Learning: SVM

² Unsupervised Learning: PCA

¹ Unsupervised Learning