Zobrazeno 1 - 10
of 1 805
pro vyhledávání: '"Model-based clustering"'
Publikováno v:
Jurnal Pijar MIPA (Pengkajian Ilmu dan Pengajaran Matematika dan Ilmu Pengetahuan Alam), Vol 19, Iss 3, Pp 479-487 (2024)
This thesis aims to apply model-based clustering in grouping regencies/cities in North Sumatra based on Community Welfare Indicators to determine the number of groups (clusters) formed based on community welfare indicators in regencies/cities in Nort
Externí odkaz:
https://doaj.org/article/ac3967269c3a4dac815d21c88d560a96
Autor:
Theresa Scharl, Bettina Grün
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract RNA sequencing of time-course experiments results in three-way count data where the dimensions are the genes, the time points and the biological units. Clustering RNA-seq data allows to extract groups of co-expressed genes over time. After s
Externí odkaz:
https://doaj.org/article/851af05835164e039751010c34978cf5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3631-3651 (2024)
Time series clustering is a usual task in many different areas. Algorithms such as K-means and model-based clustering procedures are used relating to multivariate assumptions on the datasets, as the consideration of Euclidean distances, or a probabil
Externí odkaz:
https://doaj.org/article/8dd62be200f740b69f7a4c46f1a41ded
Autor:
Kealeboga L. Mokise, Herman C. Myburgh
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-27 (2023)
Abstract Powerline communication (PLC) channels are known to exhibit multipath propagation behaviour. The authors present a model-based framework to address the challenge of clustering multipath propagation components (MPCs) in PLC channels for indoo
Externí odkaz:
https://doaj.org/article/15ddb470e544409f81cb99510733a515
Publikováno v:
Machine Learning with Applications, Vol 15, Iss , Pp 100528- (2024)
Clustering techniques are used to group observations and discover interesting patterns within data. Model-based clustering is one such method that is often an attractive choice due to the specification of a generative model for the given data and the
Externí odkaz:
https://doaj.org/article/707b3f3d19e2485596ea7b0c61e26f6f
Autor:
Rafaela Ribeiro, Bruno Fanzeres
Publikováno v:
Energy and AI, Vol 15, Iss , Pp 100320- (2024)
The investment levels in electricity production capacity from variable Renewable Energy Sources have substantially grown in Brazil over the last decades, following the worldwide-seeking-goal of a carbon-neutral economy and the country’s incentives
Externí odkaz:
https://doaj.org/article/ca742335196a468e82235aa7fa459eb9
Publikováno v:
Symmetry, Vol 16, Iss 6, p 712 (2024)
Many studies have shown successful applications of the Dirichlet process mixture model (DPMM) for clustering continuous data. Beyond continuous data, in practice, one can expect to see different data types, including ordinal and nominal data. Existin
Externí odkaz:
https://doaj.org/article/70020d391e1741b9804cfaadb1fd0729
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20639- (2023)
The identification of unlabeled neuronal electric signals is one of the most challenging open problems in neuroscience, widely known as Spike Sorting. Motivated to solve this problem, we propose a model-based approach within the mixture modeling fram
Externí odkaz:
https://doaj.org/article/537cab519ab14458a6a6f682e9298c63