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Found 10 papers, 0 papers with code
Bayesian taut splines for estimating the number of modes
The number of modes in a probability density function is representative of the complexity of a model and can also be viewed as the number of subpopulations.
Bump hunting through density curvature features
Bump hunting deals with finding in sample spaces meaningful data subsets known as bumps.
Minimum adjusted Rand index for two clusterings of a given size
The adjusted Rand index (ARI) is commonly used in cluster analysis to measure the degree of agreement between two data partitions.
Explicit agreement extremes for a $2\times2$ table with given marginals
The problem of maximizing (or minimizing) the agreement between clusterings, subject to given marginals, can be formally posed under a common framework for several agreement measures.
A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
The misclassification error distance and the adjusted Rand index are two of the most commonly used criteria to evaluate the performance of clustering algorithms.
Modal clustering asymptotics with applications to bandwidth selection
Density-based clustering relies on the idea of linking groups to some specific features of the probability distribution underlying the data.
The modal age of Statistics
Recently, a number of statistical problems have found an unexpected solution by inspecting them through a "modal point of view".
Mixture model modal clustering
The two most extended density-based approaches to clustering are surely mixture model clustering and modal clustering.
A Population Background for Nonparametric Density-Based Clustering
Despite its popularity, it is widely recognized that the investigation of some theoretical aspects of clustering has been relatively sparse.
A comparison of bandwidth selectors for mean shift clustering
We explore the performance of several automatic bandwidth selectors, originally designed for density gradient estimation, as data-based procedures for nonparametric, modal clustering.
