Single-linkage and complete linkage are common; both of these can simplify the clustering algorithms (SLINK and CLINK respectively). SLINK is one of the few clustering algorithms guaranteed to ...

Some common applications are in human resources, data analysis, recommendation systems and social science. Data scientists, statisticians and AI scientists use clustering algorithms to seek ...

The most common technique for clustering numeric data is called the k-means algorithm. Take a look at the data and graph in Figure 1. Each data tuple has two dimensions: a person's height (in inches) ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Common clustering techniques include k-means ... first five rows and five columns of two of the key matrices that are computed by the spectral clustering algorithm. The 18-by-18 affinity matrix holds ...

Such password policies are common in many enterprise ... tackle at least 44 other algorithms at near-unprecedented speeds. In addition to brute-force attacks, the cluster can bring that speed ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... Alshammari began studying clustering, a machine-learning technique that classifies images ...