"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."
Clustering Data Streams by On-Line Proximity Updating
BALZANELLA, Antonio;VERDE, Rosanna
2013
Abstract
"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."File in questo prodotto:
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