Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm

Research article (Multidimensional Systems and Signal Processing, 2021) · cited 23× · AI/ML
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Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm

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Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-the-presence-of-bacteria-on-digital-images-by-using-asymmetric-distribution-with-k-means-clustering-algorith
MLA “Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-the-presence-of-bacteria-on-digital-images-by-using-asymmetric-distribution-with-k-means-clustering-algorith.
BibTeX @misc{4ortxyz_identifying-the-presence-of-bacteria-on-digital-images-by-using-asymmetric-distribution-with-k-means-clustering-algorith_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-the-presence-of-bacteria-on-digital-images-by-using-asymmetric-distribution-with-k-means-clustering-algorith}, note = {Accessed: 2026-05-24}}
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