K-Means Clustering

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In this session we took a quick look at how clustering could be used to explore the complex datasets in this project. And, with the data transformations that we discussed in previous sessions, our clustering became much more accurate. But traditional k-means clustering still didn’t meet our requirements — selecting the value of k is too difficult, and the number of clusters can still be overwhelming for the end user. Join us to see how we used advanced clustering techniques to provide remarkably efficient and intuitive exploratory dashboards.