From the course: Power BI: Integrating AI
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Finding clusters - Power BI Tutorial
From the course: Power BI: Integrating AI
Finding clusters
- [Instructor] Clustering algorithms allow us to identify segments or clusters within a dataset that are numerically similar to each other, but dissimilar to the other data points in the attribute values. Although clustering finds groups in the data, it's not the same as the grouping functionality. The Power BI clustering feature called Find Clusters uses a clustering algorithm called k-means clustering. It uses numerical data to run an algorithm that assigns each data point to a cluster, where it minimizes the total distance between each data point and its assigned cluster center to find the optimized solution. Let's start with the scatterplot showing the relationship between the average low temperature and its high temperature for each date. With the visual selected, we'll choose the ellipsis menu, then choose Automatically Find Clusters. If clustering is available for your visual, you'll see this option available. Otherwise, you won't see it. Let's run the clustering algorithm for…
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