The UN80 Initiative, unveiled in March by Secretary-General António Guterres, is a system-wide effort to reaffirm the UN's relevance for a rapidly changing world.The Initiative comes at a time of ...

Clustering algorithms can be boiled down across many facets of the entire product range to create a smaller, more manageable set of components that form a data map.

Clustering algorithms are a form of unsupervised learning algorithm. With unsupervised learning, an algorithm is subjected to “unknown” data for which no previously defined categories or ...

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 ...

This article presents a technique for clustering mixed categorical and numeric data using standard k-means clustering implemented using the C# language. Briefly, the source mixed data is preprocessed ...

The entire Torque Clustering project – which has been making headlines in the last few days – is open-source and available on GitHub to anyone willing to tinker with it, so we'll likely find ...