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

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 ...

Daniela M. Witten, Robert Tibshirani, A Framework for Feature Selection in Clustering, Journal of the American Statistical Association, Vol. 105, No. 490 (June 2010), pp. 713-726 ...

Clustering methods are widely used tools in many aspects of science, such as ecology, medicine, or even market research, that commonly deal with dendrogram-based analyses. In such analyses, for a ...