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 ...

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.

Agglomerative hierarchical clustering is a popular class of methods for understanding the structure of a dataset. The nature of the clustering depends on the choice of linkage—that is, on how one ...

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 ...

Then, several popular clustering techniques such as Agglomerative hierarchical clustering, K-means clustering algorithm, Partitioning around medoids, and Density-based clustering will be introduced.