Most desktop computers and even notebooks provide at least dual-core processors. Our multi-core algorithms show that using modern algorithmic concepts, parallelization makes it possible to perform even such laborious tasks as cluster sensitivity and cluster number estimation on the laboratory computer.
%0 Journal Article
%1 Kraus2010Highly
%A Kraus, Johann M.
%A Kestler, Hans A.
%D 2010
%J BMC bioinformatics
%K clustering computing high-performance-computing machine-learning
%N 1
%P 169+
%R 10.1186/1471-2105-11-169
%T A highly efficient multi-core algorithm for clustering extremely large datasets.
%U http://dx.doi.org/10.1186/1471-2105-11-169
%V 11
%X Most desktop computers and even notebooks provide at least dual-core processors. Our multi-core algorithms show that using modern algorithmic concepts, parallelization makes it possible to perform even such laborious tasks as cluster sensitivity and cluster number estimation on the laboratory computer.
@article{Kraus2010Highly,
abstract = {Most desktop computers and even notebooks provide at least dual-core processors. Our multi-core algorithms show that using modern algorithmic concepts, parallelization makes it possible to perform even such laborious tasks as cluster sensitivity and cluster number estimation on the laboratory computer.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Kraus, Johann M. and Kestler, Hans A.},
biburl = {https://www.bibsonomy.org/bibtex/25103ed15281ac60a29eb5e54aa4c63a5/karthikraman},
citeulike-article-id = {6964235},
citeulike-linkout-0 = {http://dx.doi.org/10.1186/1471-2105-11-169},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/20370922},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=20370922},
day = 6,
doi = {10.1186/1471-2105-11-169},
interhash = {77656506edd65d9a6f332be8fb108105},
intrahash = {5103ed15281ac60a29eb5e54aa4c63a5},
issn = {1471-2105},
journal = {BMC bioinformatics},
keywords = {clustering computing high-performance-computing machine-learning},
month = apr,
number = 1,
pages = {169+},
pmid = {20370922},
posted-at = {2010-04-07 11:33:14},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {A highly efficient multi-core algorithm for clustering extremely large datasets.},
url = {http://dx.doi.org/10.1186/1471-2105-11-169},
volume = 11,
year = 2010
}