Add to ORKGProducción CientíficaTwo key questions in Clustering problems are how to determine the number of groups properly and measure the strength of group-assignments. These questions are specially involved when the presence of certain fraction of outlying data is also expected. Any answer to these two key questions should depend on the assumed probabilistic- model, the allowed group scatters and what we understand by noise. With this in mind, some exploratory \trimming-based" tools are presented in this work together with their justi cations. The monitoring of optimal values reached when solving a robust clustering criteria and the use of some "discriminant" factors are the basis for these exploratory tools.Estadística e I
Outlying data can heavily influence standard clustering methods. At the same time, clustering princi...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
Producción CientíficaA new method for performing robust clustering is proposed. The method is desig...
How to adequately choose the number of groups and how to measure the strength of group-assignments a...
Trimming principles play an important role in robust statistics. However, their use for clustering ...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
TCLUST is a method in statistical clustering technique which is based on modification of trimmed k-m...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
Outlying data can heavily influence standard clustering methods. At the same time, clustering princi...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
Producción CientíficaA new method for performing robust clustering is proposed. The method is desig...
How to adequately choose the number of groups and how to measure the strength of group-assignments a...
Trimming principles play an important role in robust statistics. However, their use for clustering ...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
We propose a model-based clustering procedure where each component can take into account cluster-spe...
TCLUST is a method in statistical clustering technique which is based on modification of trimmed k-m...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
Outlying data can heavily influence standard clustering methods. At the same time, clustering princi...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...
A new methodology for robust clustering without specifying in advance the underlying number of Gaus...