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Book Sections Year : 2013

Clustering Data Streams by On-Line Proximity Updating


In this paper, we introduce a new clustering strategy for temporally ordered data streams, which is able to discover groups of homogeneous streams performing a single pass on data. It is a two steps approach where an on-line algorithm computes statistics about the dissimilarities among data and then, an off-line algorithm computes the final partition of the streams. The effectiveness of the proposal is evaluated through tests on real data.

Dates and versions

hal-00917506 , version 1 (11-12-2013)



Antonio Balzanella, Yves Lechevallier, Rosanna Verde. Clustering Data Streams by On-Line Proximity Updating. Antonio Giusti and Gunter Ritter and Maurizio Vichi. Classification and Data Mining, Springer, pp.97-104, 2013, Studies in Classification, Data Analysis, and Knowledge Organization, 978-3-642-28893-7. ⟨10.1007/978-3-642-28894-4_12⟩. ⟨hal-00917506⟩


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