Key Points Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type.

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, clustered sales data could reveal which items are often purchased together (famously, beer and diapers). If your data is completely numeric, then the k-means technique is simple and ...

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 ...