STAT 154 Lecture Notes - Lecture 26: Unsupervised Learning

• School: Berkeley
• Department: Statistics
• Course: STAT 154
• Professor: John Tuhao Chen

Document Summary

Example : use k - means cluster the following observations into. Unsupervised learning not available y is principal component an lysis. Neutral networking k - the results of mean clustering unique ? start from any initial clusters and with different methods. 2 clusters clustering method to cluster points into. Bp step i considering cluster step a : mean of. A and b as a cluster and c as cluster is cluster is. Practice 2 : use the hierarchical clustering method to step - by - step construct the dendrogranr. : each point is regarded as a cluster combine the. Stef combine the them as considering closest closest closest combine cluster. Stand arizati on c to see the meaning under 7 ca. I y= w w is fix ) t e m yifx) - B ex ) a parameter vector y is.