Comparison of different clustering methods applied to omics datasets
Author: 
Yupei CaiAuthors Info & Claims
Yupei CaiAuthors Info & ClaimsPages 105 - 111
Abstract
Nowadays, omics techniques have been widely used to study cancer and other related problems, but there are many cancer subtypes in a certain type of cancer which are unclear or even completely unknown, and thus unsupervised learning are only suitable approaches to address the problem. Cluster analysis refers to the analysis process of grouping data into multiple classes composed of similar data points. In this paper, six omics datasets are used to compare three clustering methods, in order to find a more suitable clustering method for omics datasets.
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Index Terms
- Comparison of different clustering methods applied to omics datasets
Index terms have been assigned to the content through auto-classification.
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Published In
March 2022
291 pages
ISBN:9781450395748
DOI:10.1145/3529399
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Published: 10 June 2022
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ICMLT 2022
ICMLT 2022: 2022 7th International Conference on Machine Learning Technologies
March 11 - 13, 2022
Rome, Italy
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