Tutorial: Unsupervised learning
Unsupervised learning: seeking representations of the data
Clustering: grouping observations together
The problem solved in clustering
Given the iris dataset, if we knew that there were 3 types of iris, but did not have access to a taxonomist to label them: we could try a clustering task: split the observations into well-separated group called clusters.
K-means clustering
Note that there exist a lot of different clustering criteria and associated algorithms. The simplest clustering algorithm is K-means.
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