[MINI] k-means clustering
Data Skeptic
00:00
Accuracy, Precision, and Trade-offs in K-means Clustering
This chapter explores the key metrics of accuracy and precision in k-means clustering, discussing the trade-off of multiple clusters and the role of domain knowledge. It also covers the challenges of finding exact centroids and two common complaints about K-means clustering.
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