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 ...

Second, the Trimmed K-Means algorithm is used to reduce the processing cost of feature extraction, making it more practical.