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Huynh et al. [10] proposed a clustering approach to identify clusters.
Section 4.2 presents a clustering approach based on spectral classification and the distributed implementation.
Third, in most of the previous works similar learners are found by using a clustering approach.
The artificial samples are created from these samples using a clustering approach.
The closed-loop system is modelised by means of a clustering approach.
An alternative approach is to use a clustering approach in which the neighborhood is defined as a local cluster.
The existing method SC [17] also proposes a clustering approach to cover the topics of a document.
Therefore, in SCA, either a clustering approach or a masking procedure can result in estimation of the mixing matrix.
In this paper, a clustering approach with a single-hop communication based upon link correlation is adopted.
Allahyari and Amiri (2011) studied step change point estimation problem in multivariate processes using a clustering approach.
A clustering approach should however also maintain cluster efficiency levels when large datasets are involved by considering inter and intra-clustering distances between data objects in a dataset.
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