'Special data points' presentation slideshows

Chapter 4: Unsupervised Learning

Chapter 4: Unsupervised Learning. Road map. Basic concepts K-means algorithm Representation of clusters Hierarchical clustering Distance functions Data standardization Handling mixed attributes Which clustering algorithm to use? Cluster evaluation Discovering holes and data regions

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Unsupervised Learning

Unsupervised Learning. Supervised learning vs. unsupervised learning. Adapted from Andrew Moore, http://www.autonlab.org/tutorials/gmm . Adapted from Andrew Moore, http://www.autonlab.org/tutorials/gmm . Adapted from Andrew Moore, http://www.autonlab.org/tutorials/gmm .

431 views • 31 slides

388 views • 25 slides