From the course: Machine Learning with Data Reduction in Excel, R, and Power BI

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Hierarchical clustering

Hierarchical clustering

From the course: Machine Learning with Data Reduction in Excel, R, and Power BI

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Hierarchical clustering

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- [Instructor] Clustering algorithms let us group the data according to how similar their data points are. And by similar, we mean close together by distance. Unlike grouping with binning or categorical data labels, clustering algorithms use the distances between points to determine what cluster group each data point belongs to. The algorithm for the hierarchical clustering algorithms means we first group together the two closest data points as the first step in the model. We then calculate the next closest data points to that cluster or between another data point. The outcome of this algorithm is a visual that looks like a tree but with branches separating out like a downward trajectory. Now let's use the distance calculations for the hierarchical clustering in our model. We calculated the distances between each of the cities on our Cartesian coordinate plane containing the average daily temperatures and the rainfall…

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