Log in to save to my catalogue

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0d3e9f61cb244e63ba207386e0de6906

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

About this item

Full title

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Publisher

Lausanne: Frontiers Research Foundation

Journal title

Frontiers in neuroinformatics, 2021-09, Vol.15, p.727859-727859

Language

English

Formats

Publication information

Publisher

Lausanne: Frontiers Research Foundation

More information

Scope and Contents

Contents

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle inspection using visualization and other methods that require identifying brain white matter structures in individuals or a population. Some applicati...

Alternative Titles

Full title

Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0d3e9f61cb244e63ba207386e0de6906

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0d3e9f61cb244e63ba207386e0de6906

Other Identifiers

ISSN

1662-5196

E-ISSN

1662-5196

DOI

10.3389/fninf.2021.727859

How to access this item