substantially simpler to implement than competing approaches. We show that the proposed clustering algorithm successfully recovers …

The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its … broad appeal and usefulness as one of the steps in exploratory data analysis. Clustering is the unsupervised classification … of patterns into groups. However, clustering differences in assumptions and contexts in different communities has made …

Fuzzy clustering techniques are used to construct clusters with uncertain boundaries and allows that one object belongs … to overlapping clusters with some membership degree. In other words, the fuzzy clustering is to consider not only the … paper, a technique called “fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using …

Many problems in finance require the clustering of variables or observations. Despite its usefulness, clustering is … almost never taught in Econometrics courses. In this seminar we review two general clustering approaches: partitional and …