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Keywords: k-means
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Journal Articles
Accepted Manuscript
Publisher: ASTM International
Article Type: Technical Papers
J. Test. Eval..
Paper No: JTE20230066
Published Online: February 16, 2024
... was proposed. Based on Internet of Things technology, collect food spoilage warning images. The k-means algorithm is used to identify the food variable mass spectrometry data, and the three-dimensional visual feature reconstruction method is devised to reconstruct the image characteristics of the food variable...
Journal Articles
Publisher: ASTM International
Article Type: Technical Papers
J. Test. Eval.. September 2021, 49(5): 3063–3080.
Paper No: JTE20190674
Published Online: September 1, 2021
... one concerns the automation of locating and selecting lesions that starts by preprocessing the already segmented breast regions; then, a K-means algorithm allows extraction of regions including suspicious tissues. The third one is the superimposition of all detected lesions from selected slices...
Journal Articles
Publisher: ASTM International
Article Type: Technical Papers
J. Test. Eval.. November 2020, 48(6): 4563–4575.
Paper No: JTE20180021
Published Online: November 1, 2020
... a hybrid approach that combines both k -means and rough set theory for mining the dropout knowledge among student dropout. An empirical case of student dropout is based on the industrial-academic cooperation (IAC) education of higher TVE in Taiwan. The results of knowledge extraction from the proposed...
Journal Articles
Publisher: ASTM International
Article Type: Technical Papers
J. Test. Eval.. November 2019, 47(6): 4054–4066.
Paper No: JTE20180414
Published Online: November 1, 2019
...Revathy Swaminathan; Arunkumar Thangavelu In the era of big data mining, clustering is the organization of objects into groups based on applied similarity metrics. Among those metrics, the k-means approach is considered the most popular algorithm so far. As a result of the advancement in parallel...