5 Clustering Methods in Machine Learning | Clustering Applications
5 Clustering Methods in Machine Learning | Clustering Applications
Feb 15, 2021
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Dawn Choo | Data Interview Tips on Instagram: "K-means clustering projects! K-means is a good way to group data points that are similar to each other. Our goal is find natural segments within the data. In this example, we used K-Means to build customer segmentation profiles based on Annual Income and Spending Score and Age. The result? We now have 5 distinct customer groups that behave differently — like high-income/high-spending customers vs. low-income/low-spending ones. Other cool ways you co
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