The Data Science Lab. Data Clustering with K-Means++ Using C#. Dr. James McCaffrey of Microsoft Research explains the k-means++ technique for data clustering, the process of grouping data items so ...

But spectral clustering can reveal patterns in data that aren't revealed by other clustering techniques. Spectral clustering is a meta-algorithm, meaning that there are dozens of variations. The demo ...

This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...

Researchers working with complex datasets — whether from patient health records or self-driving car sensors — could uncover a wealth of insights hidden in patterns they never knew existed. For many AI ...

Huijing Jiang, Nicoleta Serban, Clustering Random Curves Under Spatial Interdependence With Application to Service Accessibility, Technometrics, Vol. 54, No. 2 (May 2012), pp. 108-119 ...

In the first large-scale observation with human coding of infant vocalizations using all-day home recordings, babies of all ages from birth up to a year old squealed and growled in significant ...

The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has transformed life sciences, driving discoveries across immunology, oncology, and ...