Statistical Learning: 12.4 Hierarchical Clustering

Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing

Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/peopl...

You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data-analys...)

For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72

0:00 Introduction
1:01 Hierarchical Clustering: the idea
2:38 Hierarchical Clustering Algorithm
4:03 An Example
4:24 Application of hierarchical clustering
5:59 Types of Linkage
9:09 Choice of Dissimilarity Measure
11:31 Practical issues

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