Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Juan I. Modroño-Herrán"'
Publikováno v:
Journal of Classification. 37:380-398
In this work we use a novel methodology for the classification of time series data, through a natural, unsupervised data learning process. This strategy is based on the sequential use of Multiple Factor Analysis and an ascending Hierarchical Classifi
Publikováno v:
Quality & Quantity. 48:2209-2224
Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively
Autor:
Juan I. Modroño-Herrán, M. I. Landaluce-Calvo, Karmele Fernandez-Aguirre, A. Martín-Arroyuelos
Publikováno v:
Journal of Applied Statistics. 38:2661-2679
For a higher education public institution, young in relative terms, featuring local competition with another private and both long-established and reputed one, it is of great importance to become a reference university institution to be better known
Autor:
Vicente Núñez‐Antón, Juan I. Modroño-Herrán, Karmele Fernandez-Aguirre, Inmaculada Gallastegui‐Zulaica
Publikováno v:
International Journal of Bank Marketing. 21:243-254
Within the framework of database marketing, that is, data mining applied to large databases for marketing purposes, we analyze the database of clients of a financial institution, trying to extract from it indications which could help to establish its
Publikováno v:
Advances in Data Analysis ISBN: 9780817647988
Results obtained from surveys are often a mixture of quantitative, ca-tegorical, and textual data that leads to a mixed multiple table. Multiple factor analysis, extended to consider textual variables, can be applied to this kind of table. When surve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29603b4a0c3120a02b961acf908da400
https://doi.org/10.1007/978-0-8176-4799-5_3
https://doi.org/10.1007/978-0-8176-4799-5_3