Finding the “K” in K-means Clustering With a UDx
Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
October 4, 2019
You can apply k-means clustering to partition data points into k different groups. Along with the data, the number of clusters "k" is an input to the algorithm. Common examples like the Iris data set tell you upfront how many different groups exist, so you set k=3. What if you don't know how many clusters...
