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 ...

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 ...

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) ...

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 ...

In this work, we propose a DHR executor selection algorithm based on historical credibility and dissimilarity clustering (HCDC). The executors are classified according to historical credibility ...