Browsing Electrical and Computer Engineering by Subject "Data Clustering"
Now showing items 1-3 of 3
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Greedy Representative Selection for Unsupervised Data Analysis
(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
(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
(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. ...