Book ChapterDOI
Multivariate Density Estimation
Jeffrey S. Simonoff
- pp 96-133
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TLDR
Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariateData and the comparative lack of parametric models to represent it.Abstract:
Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariate data and the comparative lack of parametric models to represent it. Unfortunately, such exploration is also inherently more difficult.read more
Citations
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Journal ArticleDOI
Software survey: VOSviewer, a computer program for bibliometric mapping.
TL;DR: VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
Proceedings ArticleDOI
Advances in kernel methods: support vector learning
TL;DR: Support vector machines for dynamic reconstruction of a chaotic system, Klaus-Robert Muller et al pairwise classification and support vector machines, Ulrich Kressel.
Journal ArticleDOI
Model-Based Clustering, Discriminant Analysis, and Density Estimation
Chris Fraley,Adrian E. Raftery +1 more
TL;DR: This work reviews a general methodology for model-based clustering that provides a principled statistical approach to important practical questions that arise in cluster analysis, such as how many clusters are there, which clustering method should be used, and how should outliers be handled.
Proceedings ArticleDOI
Real-time tracking of non-rigid objects using mean shift
TL;DR: The theoretical analysis of the approach shows that it relates to the Bayesian framework while providing a practical, fast and efficient solution for real time tracking of non-rigid objects seen from a moving camera.
Book ChapterDOI
A Survey of Clustering Data Mining Techniques
TL;DR: This survey concentrates on clustering algorithms from a data mining perspective as a data modeling technique that provides for concise summaries of the data.
References
More filters
Journal ArticleDOI
Software survey: VOSviewer, a computer program for bibliometric mapping.
TL;DR: VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
Proceedings ArticleDOI
Advances in kernel methods: support vector learning
TL;DR: Support vector machines for dynamic reconstruction of a chaotic system, Klaus-Robert Muller et al pairwise classification and support vector machines, Ulrich Kressel.
Journal ArticleDOI
Model-Based Clustering, Discriminant Analysis, and Density Estimation
Chris Fraley,Adrian E. Raftery +1 more
TL;DR: This work reviews a general methodology for model-based clustering that provides a principled statistical approach to important practical questions that arise in cluster analysis, such as how many clusters are there, which clustering method should be used, and how should outliers be handled.
Proceedings ArticleDOI
Real-time tracking of non-rigid objects using mean shift
TL;DR: The theoretical analysis of the approach shows that it relates to the Bayesian framework while providing a practical, fast and efficient solution for real time tracking of non-rigid objects seen from a moving camera.
Book ChapterDOI
A Survey of Clustering Data Mining Techniques
TL;DR: This survey concentrates on clustering algorithms from a data mining perspective as a data modeling technique that provides for concise summaries of the data.