• Predicting Car Park Occupancy Rates in Smart Cities 

      Stolfi, Daniel H.; Alba-Torres, Enrique; Yao, Xin (Springer, 2017)
      In this article we address the study of parking occupancy data published by the Birmingham city council with the aim of testing several prediction strategies (polynomial fitting, Fourier series, k-means clustering, and ...
    • Three is not a crowd: ACPU-GPU-FPGA K-means implementation 

      Canales, Marcos; Cancer, Jorge; Constantinescu, Denisa; Escuin, Carlos; Perez, Borja (2017-06-15)
      Clustering is the task of assigning a set of objects into groups (clusters) so that objects in the same group are more similar to each other than to those in other groups. In particular, K-means is a clustering algorithm ...