For completely numeric data, the k-means clustering algorithm is simple and effective, especially if the k-means++ initialization technique is used. But non-numeric data (also called categorical data) ...

You can explore alternatives to manually typing in numerical data. If you have data that is currently typed or written on paper, you can use a scanner to capture the text, including numbers, from ...

Since graph tools are not so widespread in today’s enterprise and academic landscape, data scientists instead fall back on the statistical techniques they know and for which there are ready tools.

Sparklines evaluate numerical data and as we all know (all too well), sometimes there are other values other than non-numeric. We don’t always expect them, so we fail to plan for them.

How to Add a Numeric Keypad to a MacBook Pro. When you're using your Macbook Pro to enter in numeric data such as sales figures, payroll or other data related to your business, you may find using ...

The SSMIS instruments are part of three weather satellites that are in low-Earth orbit and are maintained by NOAA in ...

The Data Science Lab Clustering Non-Numeric Data Using C# Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James ...