Now showing items 1-7 of 7

  • A probabilistic approach to the visual exploration of G protein-coupled receptor sequences 

    Vellido Alcacena, Alfredo; Cárdenas, Martha Ivón; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (2011)
    Conference report
    Open Access
    The study of G protein-coupled receptors (GPCRs) is of great interest in pharmaceutical research, but only a few of their 3D structures are known at present. On the contrary, their amino acid sequences are known and ...
  • A variational formulation for GTM through time 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (IEEE, 2008)
    Conference report
    Open Access
    Generative Topographic Mapping (GTM) is a latent variable model that, in its original version, was conceived to provide clustering and visualization of multivariate, realvalued, i.i.d. data. It was also extended to deal ...
  • Advances in clustering and visualization of time series using GTM through time 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2008-09)
    Article
    Restricted access - publisher's policy
    Most of the existing research on multivariate time series concerns supervised forecasting problems. In comparison, little research has been devoted to their exploration through unsupervised clustering and visualization. ...
  • Clustering and visualization of multivariate time series 

    Vellido Alcacena, Alfredo; Olier Caparroso, Iván (Information Science Reference, 2009)
    Part of book or chapter of book
    Restricted access - publisher's policy
    The exploratory investigation of multivariate time series (MTS) may become extremely difficult, if not impossible, for high dimensional datasets. Paradoxically, to date, little research has been conducted on the exploration ...
  • Kernel generative topographic mapping of protein sequences 

    Cárdenas, Martha Ivón; Vellido Alcacena, Alfredo; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (IGI Global, 2012-06)
    Part of book or chapter of book
    Restricted access - publisher's policy
  • On the benefits for model regularization of a variational formulation of GTM 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (IEEE, 2008)
    Conference report
    Open Access
    Generative Topographic Mapping (GTM) is a manifold learning model for the simultaneous visualization and clustering of multivariate data. It was originally formulated as a constrained mixture of distributions, for which ...
  • Variational Bayesian generative topographic mapping 

    Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2008-12)
    Article
    Restricted access - publisher's policy
    General finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack data visualization capabilities, which reduces their practical applicability to real-world problems. ...