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pro vyhledávání: '"Siva Rajesh Kasa"'
Autor:
Siva Rajesh Kasa, Vaibhav Rajan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Clustering is a fundamental tool for exploratory data analysis, and is ubiquitous across scientific disciplines. Gaussian Mixture Model (GMM) is a popular probabilistic and interpretable model for clustering. In many practical settings, the
Externí odkaz:
https://doaj.org/article/857f9549b6bf428dab62921996aaa57a
Autor:
Malay Bhattacharyya, Siva Rajesh Kasa
Publikováno v:
SN Computer Science. 2
Correlations among stock returns during volatile markets differ substantially as compared to those from quieter markets. During times of financial crisis, it has been observed that the ‘traditional’ dependencies in global markets break down. Howe
Autor:
Siva Rajesh Kasa, Vaibhav Rajan
We study two practically important cases of model based clustering using Gaussian Mixture Models: (1) when there is misspecification and (2) on high dimensional data, in the light of recent advances in Gradient Descent (GD) based optimization using A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60b9375a3547dded5b00a20a1789871c
Publikováno v:
Bioinformatics (Oxford, England). 36(2)
Motivation The identification of sub-populations of patients with similar characteristics, called patient subtyping, is important for realizing the goals of precision medicine. Accurate subtyping is crucial for tailoring therapeutic strategies that c