The thesis presents method called archetypal analysis, which belongs to the field of multivariate statistical data analysis. The method brings contribution to many different branches of science. It focuses in searching for the archetypes or so called "individuals of pure type" that are expressed as convex linear combinations of the original data. At the same time, the original data are represented as the convex linear combinations of the data minimizing the squared error in this representation. There is also a detailed example on processing of the real data. The thesis contains also a sugestion of ways how the original data can be divided into segments. The processed data set is attached. Powered by TCPDF (www.tcpdf.org
Aquesta Tesi desenvolupa l’Anàlisi d’Arquetipus (AA) i demostra la seua viabilitat i rigor. Amplia l...
Prototypes, as Rosch (1973) defined the term in the cognitive sciences field, are ideal exemplars th...
Texture segmentation is one of the main tasks in image applications, specifically in remote sensing,...
Archetype and archetypoid analysis are extended to shapes. The objective is to find representative s...
The use of archetypal analysis is proposed in order to determine a set of representative cases that ...
[EN] The new concept archetypoids is introduced. Archetypoid analysis represents each observation in...
[EN] The use of archetypal analysis is proposed in order to determine a set of representative cases ...
In this article, we propose several methodologies for handling missing or incomplete data in archety...
Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (...
Archetypal analysis has the aim to represent observations in a multivariate data set as convex combi...
Archetypal analysis has the aim to represent observations in a multivariate data set as convex combi...
In this paper we propose several methodologies for handling missing or incomplete data in Archetype ...
This introduction to the R package archetypes is a (slightly) modified version of Eugster and Leisch...
Human knowledge develops through complex relationships between categories. In the era of the Big Dat...
Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations...
Aquesta Tesi desenvolupa l’Anàlisi d’Arquetipus (AA) i demostra la seua viabilitat i rigor. Amplia l...
Prototypes, as Rosch (1973) defined the term in the cognitive sciences field, are ideal exemplars th...
Texture segmentation is one of the main tasks in image applications, specifically in remote sensing,...
Archetype and archetypoid analysis are extended to shapes. The objective is to find representative s...
The use of archetypal analysis is proposed in order to determine a set of representative cases that ...
[EN] The new concept archetypoids is introduced. Archetypoid analysis represents each observation in...
[EN] The use of archetypal analysis is proposed in order to determine a set of representative cases ...
In this article, we propose several methodologies for handling missing or incomplete data in archety...
Archetypal analysis is an exploratory tool that explains a set of observations as mixtures of pure (...
Archetypal analysis has the aim to represent observations in a multivariate data set as convex combi...
Archetypal analysis has the aim to represent observations in a multivariate data set as convex combi...
In this paper we propose several methodologies for handling missing or incomplete data in Archetype ...
This introduction to the R package archetypes is a (slightly) modified version of Eugster and Leisch...
Human knowledge develops through complex relationships between categories. In the era of the Big Dat...
Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations...
Aquesta Tesi desenvolupa l’Anàlisi d’Arquetipus (AA) i demostra la seua viabilitat i rigor. Amplia l...
Prototypes, as Rosch (1973) defined the term in the cognitive sciences field, are ideal exemplars th...
Texture segmentation is one of the main tasks in image applications, specifically in remote sensing,...