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Hierarchical density estimates for data clustering, visualization, and outlier detection
(ACMNew York, 2015-07)
An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced in this article. The main module consists of an algorithm to compute hierarchical estimates of the level ...
Flexible scan statistic test to detect disease clusters in hierarchical trees
(Springer HeidelbergHeidelbergAlemanha, 2012)
A divisive clustering method for functional data with special consideration of outliers
(Springer, 2017-08)
This paper presents DivClusFD, a new divisive hierarchical method for the non-supervised classification of functional data. Data of this type present the peculiarity that the differences among clusters may be caused by ...
SecLEACH - On the security of clustered sensor networks
(Elsevier Science BvAmsterdamHolanda, 2007)
HIERARCHICAL AND NON-HIERARCHICAL CLUSTERING AND ARTIFICIAL NEURAL NETWORKS FOR THE CHARACTERIZATION OF GROUPS OF FEEDLOT-FINISHED MALE CATTLE
(Inst Zootecnia, 2015-01-01)
The individual experimental results of 1,393 feedlot-finished cattle of different genetic groups obtained at different research institutions were collected. Exploratory multivariate hierarchical analysis was applied, which ...
PXRF and multivariate statistics analysis of pre-colonial pottery from northeast of Brazil
(WILEY-BLACKWELLMALDEN, 2012)
Portable system of energy dispersive X-ray fluorescence was used to determine the elemental composition of 68 pottery fragments from Sambaqui do Bacanga, an archeological site in Sao Luis, Maranhao, Brazil. This site was ...
Geographical discrimination of mineral waters from Sao Paulo state through exploratory analysis
(Editora UnespSao PauloBrasil, 2002)
QSAR of progestogens: Use of a priori and computed molecular descriptors and molecular graphics
(Wiley-v C H Verlag GmbhWeinheimAlemanha, 2003)
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
(Elsevier Science London, 2018-02)
Background The development of statistical software has enabled food scientists to perform a wide variety of mathematical/statistical analyses and solve problems. Therefore, not only sophisticated analytical methods but ...