The number of modes in a probability density function is representative ...
Bump hunting deals with finding in sample spaces meaningful data subsets...
In an unpublished presentation, Steinley reported that the minimum adjus...
The problem of maximizing (or minimizing) the agreement between clusteri...
The misclassification error distance and the adjusted Rand index are two...
Density-based clustering relies on the idea of linking groups to some
sp...
Recently, a number of statistical problems have found an unexpected solu...
The two most extended density-based approaches to clustering are surely
...
Despite its popularity, it is widely recognized that the investigation o...
The problem of finding groups in data (cluster analysis) has been extens...
Important information concerning a multivariate data set, such as cluste...