Sentence examples for incomplete educational from inspiring English sources

In particular, we define a kernel-based vector quantization approach to effectively clustering incomplete educational data where incompleteness can be present in any data record at any dimension.

In this paper, our work follows the kernel-based approach with vector quantization and the nearest prototype strategy by proposing a robust and effective incomplete educational data clustering algorithm, named VQ_fk_nps, where we tackle data incompleteness in the data space while doing clustering in the feature space.

So, our work in this paper is dedicated to a clustering task on incomplete educational data.

In this situation, the clustering task becomes an inevitable incomplete educational data clustering task.

Hence, our work focuses on an incomplete educational data clustering approach to the aforementioned task.

Our incomplete educational data clustering algorithm, VQ_fk_nps, is defined as: An evaluation of the proposed approach from the theoretical perspectives.

Educational levels Skilled workers: complete college education; Semi-skilled: complete secondary education or incomplete college education; Unskilled: incomplete secondary education or lower.

Educational level was defined as incomplete secondary education, complete secondary education or tertiary studies.

Educational level was categorized as low (no schooling, incomplete primary education, and primary education), middle (3 or 4 years of secondary education), and high (college and university education).

Experimental results have shown that the proposed framework and its algorithms seem to be appropriate for clustering educational incomplete data sets.

As VQ_fk_nps always has the lowest values for Xie_Beni and S_Dbw, such experimental results have confirmed the robustness and effectiveness of VQ_fk_nps, for handling different amounts of incomplete data in educational data sets.