Clustering algorithms are a powerful form of AI that can be applied to business challenges from customer segmentation to fraud detection.

Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the ...

These led to the development of hierarchical clustering algorithms for EEG data. "One way to study functional connectivity in the brain is to look for similar patterns of activation in different ...

Then, you can use clustering results to custom tailor your marketing efforts. In this course, we will explore two popular clustering techniques: Agglomerative hierarchical clustering and K-means ...

It is a divisive hierarchical clustering approach and calculates a divisive hierarchy for the dataset, as opposed to most hierarchical clustering algorithms, which are agglomerative.

Statistica Sinica, Vol. 12, No. 1, A Special Issue on Bioinformatics (January 2002), pp. 241-262 (22 pages) Many clustering algorithms have been used to analyze microarray gene expression data. Given ...