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).

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 ...

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 ...

Artificial Intelligence Guide to Algorithms in AI Algorithms define the rules, conditions, and methodology that an AI will use when processing and analyzing data.

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 ...