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 ...

Learn about AI clustering, how it's used in specific applications, its challenges and benefits (and what it can't do).

Clustering gains importance in the fields of libraries (book ordering), insurance (identifying groups and identifying frauds), WWW (document classification and clustering weblog data).

Recently, a research paper entitled “A DHR executor selection algorithm based on historical credibility and dissimilarity clustering” was accepted by SCIENCE CHINA Information Sciences. In ...

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 ...

In cluster analysis, one of the major challenges is to estimate the number of clusters. Most existing approaches attempt to minimize some distance-based dissimilarity measure within clusters. This ...