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Optimal Functionality and Domain Data Clustering based on Latent Dirichlet Allocation

Authors:
Stoyan Garbatov
João Cachopo

Keywords: clustering; Latent Dirichlet Allocation; stochastic model; Silhouette

Abstract:
This work presents a new approach for clustering domain data and application functionality, based on the Latent Dirichlet Allocation. The methodology, developed here, performs an optimal clustering by identifying input values that lead to the best possible clustering output. The optimal solutions are identified through the use of the Silhouette technique. A validation of the work is performed based on the TPC-W benchmark. The new approach is flexible enough to be applied to any object-oriented application where identifying meaningful clusters of its domain data and functionality is desired.

Pages: 245 to 250

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-165-6

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011