Displaying similar documents to “Notes on the bias of dissimilarity indices for incomplete data sets: the case of archaelogical classification.”

Protecting micro-data by micro-aggregation: the experience in Eurostat.

Daniel Defays (1997)

Qüestiió

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A natural strategy to protect the confidentiality of individual data is to aggregate them at the lowest possible level. Some studies realised in Eurostat on this topic will be presented: properties of classifications in clusters of fixed sizes, micro-aggregation as a generic method to protect the confidentiality of individual data, application to the Community Innovation Survey. The work performed in Eurostat will be put in line with other projects conducted at European level on the...

Correspondence analysis and two-way clustering.

Antonio Ciampi, Ana González Marcos, Manuel Castejón Limas (2005)

SORT

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Correspondence analysis followed by clustering of both rows and columns of a data matrix is proposed as an approach to two-way clustering. The novelty of this contribution consists of: i) proposing a simple method for the selecting of the number of axes; ii) visualizing the data matrix as is done in micro-array analysis; iii) enhancing this representation by emphasizing those variables and those individuals which are 'well represented' in the subspace of the chosen axes. The approach...

Clustering of Symbolic Data based on Affinity Coefficient: Application to a Real Data Set

Áurea Sousa, Helena Bacelar-Nicolau, Fernando C. Nicolau, Osvaldo Silva (2013)

Biometrical Letters

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In this paper, we illustrate an application of Ascendant Hierarchical Cluster Analysis (AHCA) to complex data taken from the literature (interval data), based on the standardized weighted generalized affinity coefficient, by the method of Wald and Wolfowitz. The probabilistic aggregation criteria used belong to a parametric family of methods under the probabilistic approach of AHCA, named VL methodology. Finally, we compare the results achieved using our approach with those obtained...

Application of Classification Methods to a Problem Related to Specific Groups of E-Government Users

Angelova, Vesela, Eskenazi, Avram (2008)

Serdica Journal of Computing

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This paper was partly supported by ELOST – a SSA EU project – No 27287. One of the important tasks of the EU ELOST project on E-government and Low Socio-Economic Status Groups (LSG) was to compare experts’ opinions on fundamental problems of the subject. This papers shows how the application of specific classification methods to experts’ formalized answers could lead to some non-trivial and objective conclusions about interdependencies and the interrelation between e-government...

The usefulness of discrimination based on distances on human evolution.

Concepción Arenas Solá, Daniel Turbón Borrega (1998)

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The reconstruction of human history from the fossil record often runs up against incomplete or differential preservation of specimens. In anthropological studies a large number of variables are usually taken and missing values can be a problem. Here we analyze three population samples of extinct aborigines from Tierra del Fuego. The first sample, with sex and ethnic group known, is used to compare the step-wise discriminant analysis and the discriminant analysis based on distances. With...

The post randomisation method for protecting microdata.

José Gouweleeuw, Peter Kooiman, Leon Willenborg, Peter-Paul De Wolf (1998)

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This paper describes the Post Randomisation Method (PRAM) for disclosure protection of microdata. Applying PRAM means that for each record in the data file according to a specified probability mechanism the score on a number of variables is changed. Since this probability mechanism is known, the characteristics of the latent true data can unbiasedly be estimated from the observed data moments in the perturbed file. PRAM is applied to categorical variables. It is shown that...