Now showing items 1-3 of 3

    • Density based projection pursuit clustering 

      Tasoulis, S. K.; Epitropakis, M. G.; Plagianakos, V. P.; Tasoulis, D. K. (2012)
      Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal Component Analysis and Projection Pursuit, to find interesting lower ...
    • Independent component clustering for skin lesions characterization 

      Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2011)
      In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ...
    • RLAC: Random Line Approximation Clustering 

      Barbas P., Vrahatis A.G., Tasoulis S.K. (2021)
      We explore how Random Projections can be used as an Approximate method for Projection Pursuit Clustering in high dimensional data. Traditional data transformations such as PCA for dimensionality reduction have been shown ...