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It has been used for clustering tasks [46].
Using irrelevant features in classification or clustering tasks could deteriorate the performance.
Evaluating clustering results is very important to the success of clustering tasks.
Proposing a new approach for qualitative community evaluation using classical data clustering tasks.
Yang et al. [96] proposed a method for unsupervised HTL for image clustering tasks called annotation-based PLSA (aPLSA).
Image clustering tasks aim to organize images into groups, or clusters, based on their similarities or differences.
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In this situation, the clustering task becomes an inevitable incomplete educational data clustering task.
For the clustering task, an extended version of fuzzy type 2 clustering algorithm is also proposed.
This task is a performance-based student clustering task in an academic credit system.
Obviously, clustering evaluation is a stand-alone process that is not included within clustering task.
So, our work in this paper is dedicated to a clustering task on incomplete educational data.
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