A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data

Research article (The Journal of Supercomputing, 2023) · cited 11× · AI/ML
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A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data

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A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data is a scholarly article[1].

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  • A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-apache-spark-based-14-dimensional-scalable-feature-extraction-approach-for-the-clustering-of-genomics-data
MLA “A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-apache-spark-based-14-dimensional-scalable-feature-extraction-approach-for-the-clustering-of-genomics-data.
BibTeX @misc{4ortxyz_a-novel-apache-spark-based-14-dimensional-scalable-feature-extraction-approach-for-the-clustering-of-genomics-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-apache-spark-based-14-dimensional-scalable-feature-extraction-approach-for-the-clustering-of-genomics-data}, note = {Accessed: 2026-05-24}}
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