Clustering data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Find the key numerical data and share that. Think strategically about data presentation. (Numbers and text with visuals are often helpful when making risk assessments, for example.) ...

For example, I passed the encoded and normalized data to the scikit-learn Python language KMeans module and got identical results as the C# KMeans implementation presented in this article. The ...