The k-value at that point is often a good choice. This is called the "elbow" technique. An alternative for clustering mixed categorical and numeric data is to use an old technique called k-prototypes ...

Spark K-Means resource tuning: Introduction to K-means clustering K-Means is an unsupervised clustering algorithm. Given K as the number of clusters, the algorithm first allocates K (semi)-random ...

Data clustering is the process of grouping data items together so that similar items are in the same group/cluster. For strictly numeric data, the k-means clustering technique is relatively simple, ...