Now showing items 1-3 of 3

    • Greedy Representative Selection for Unsupervised Data Analysis 

      Helwa, Ahmed Khairy Farahat (University of Waterloo, 2013-01-25)
      In recent years, the advance of information and communication technologies has allowed the storage and transfer of massive amounts of data. The availability of this overwhelming amount of data stimulates a growing need to ...
    • Scalable Embeddings for Kernel Clustering on MapReduce 

      Elgohary, Ahmed (University of Waterloo, 2014-02-18)
      There is an increasing demand from businesses and industries to make the best use of their data. Clustering is a powerful tool for discovering natural groupings in data. The k-means algorithm is the most commonly-used data ...
    • Voting-Based Consensus of Data Partitions 

      Ayad, Hanan (University of Waterloo, 2008-08-29)
      Over the past few years, there has been a renewed interest in the consensus problem for ensembles of partitions. Recent work is primarily motivated by the developments in the area of combining multiple supervised learners. ...

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