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The early-start clustering stage is used to cluster tasks while preserving the earliest start time of a task without limiting parallelism.
Similar(59)
It has been used for clustering tasks [46].
Evaluating clustering results is very important to the success of clustering tasks.
Using irrelevant features in classification or clustering tasks could deteriorate the performance.
Proposing a new approach for qualitative community evaluation using classical data clustering tasks.
Image clustering tasks aim to organize images into groups, or clusters, based on their similarities or differences.
Yang et al. [96] proposed a method for unsupervised HTL for image clustering tasks called annotation-based PLSA (aPLSA).
Introducing task-oriented evaluation of community detection algorithms and providing an approach for evaluating different community detection algorithms on data clustering tasks.
We have shown that community detection can be effectively used also for data clustering tasks, provided that datasets are viewed as complex networks.
DTW is widely used, for example, for classification and clustering tasks in econometrics, chemometrics, and general time series mining (Giorgino 2015).
The success of I-vectors has been reached the language recognition [40, 41], and it is not only dedicated to speaker diarization, clustering tasks, and speaker recognition [42] ([42].
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