If the receiver of an anonymous message is taken to be the adversary, then their best guess from a set of candidate senders ...

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 ...

Almost all clustering techniques, for both numeric and non-numeric data, require you to specify the number of clusters to use. After clustering, the CU of the result clustering is computed and ...

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 ...

"Never let a good crisis go to waste." Winston Churchill's famous maxim feels very relevant today, when multilateralism and many environmental causes seem to be in retreat. We now face a triple ...

Clustering Mixed Categorical and Numeric Data Using k-Means with C#. Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique ...

The concept of locating similar types of commercial real estate uses in close proximity to one another to allow those users ...