Scalable robust clustering method for large and sparse data
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Scalable robust clustering method for large and sparse data
esann2018es2018134.pdf
(University of Jyväskylä - JYX)
https://www.elen.ucl.ac.be/Proceedi...2018-134.pdf
(University of Jyväskylä - JYX)
Datasets for unsupervised clustering can be large and sparse, with significant portion of missing values. We present here a scalable version of a robust clustering method with the available data strategy. Moreprecisely, a general algorithm is described and the accuracy and scalability of a distributed implementation of the algorithm is tested. The obtained results allow us to conclude the viability of the proposed approach.
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