tag:joss.theoj.org,2005:/papers/tagged/clustering?page=2Journal of Open Source Software2023-03-08T10:00:40ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/40142023-03-08T10:00:40Z2023-03-09T00:04:46ZPersistable: persistent and stable clusteringaccepted0.3.22022-11-18 23:32:58 UTC832023-03-08 10:00:40 UTC820235022LuisScoccolaNortheastern University0000-0002-4862-722XAlexanderRolleTechnical University of Munich10.21105/joss.05022https://doi.org/10.5281/zenodo.7697173Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05022.pdfclustering, unsupervised learning, machine learning, topological data analysistag:joss.theoj.org,2005:Paper/23002023-02-21T12:58:18Z2023-02-22T00:00:57ZOpenRepGrid.ic: A software for Interpretive Clusteringacceptedv0.5.02021-01-10 21:14:41 UTC822023-02-21 12:58:18 UTC820233292MarkHeckmannDB Station&Service AG, Germany0000-0002-0736-7417VivBurrUniversity of Huddersfield, GB0000-0002-3784-1271NigelKingUniversity of Huddersfield, GB0000-0003-0585-736410.21105/joss.03292https://doi.org/10.5281/zenodo.7655618Rhttps://joss.theoj.org/papers/10.21105/joss.03292.pdfRepertory grid technique, Clustering, Personal Construct Psychology, R packagetag:joss.theoj.org,2005:Paper/37592023-02-15T13:28:09Z2023-02-16T00:00:48ZPoUnce: A framework for automatized uncertainty quantification simulations on high-performance clustersacceptedv1.0.02022-08-02 14:41:27 UTC822023-02-15 13:28:09 UTC820234683JakobDuerrwaechterInstitute of Aerodynamics and Gas Dynamics, University of Stuttgart, Germany0000-0001-8961-5340ThomasKuhnInstitute of Aerodynamics and Gas Dynamics, University of Stuttgart, GermanyFabianMeyerInstitute of Applied Analysis and Numerical Simulation, University of Stuttgart, GermanyAndreaBeckInstitute of Aerodynamics and Gas Dynamics, University of Stuttgart, Germany, The Laboratory of Fluid Dynamics and Technical Flows, Otto von Guericke University Magdeburg, GermanyClaus-DieterMunzInstitute of Aerodynamics and Gas Dynamics, University of Stuttgart, Germany10.21105/joss.04683https://doi.org/10.5281/zenodo.7600634Pythonhttps://joss.theoj.org/papers/10.21105/joss.04683.pdfUncertainty quantification, High performance computing, Mulitlevel Monte Carlo, Multifidelity Monte Carlotag:joss.theoj.org,2005:Paper/37662023-01-10T22:39:40Z2023-01-11T00:00:59ZMG-MAMPOSSt, a Fortran code to test gravity at galaxy-cluster scalesacceptedv1.0.02022-08-04 11:08:56 UTC812023-01-10 22:39:40 UTC820234800LorenzoPizzutiOsservatorio Astronomico della Regione Autonoma Valle d'Aosta, Loc. Lignan 39, I-11020, Nus, Italy, CEICO, Institute of Physics of the Czech Academy of Sciences, Na Slovance 2, 182 21 Praha 8, Czechia0000-0001-5654-7580IppocratisD.SaltasCEICO, Institute of Physics of the Czech Academy of Sciences, Na Slovance 2, 182 21 Praha 8, CzechiaAndreaBivianoINAF, Osservatorio Astronomico di Trieste, via Tiepolo 11, 34143 Trieste, Italy, IFPU, Institute for Fundamental Physics of the Universe, via Beirut 2, 34014 Trieste, ItalyGaryMamonInstitut d'Astrophysique de Paris (UMR 7095, CNRS and Sorbonne Université), 98 bis Bd Arago, F-75014 Paris, FranceLucaAmendolaInstitute of Theoretical Physics, Philosophenweg 16, Heidelberg University, 69120, Heidelberg, Germany10.21105/joss.04800https://doi.org/10.5281/zenodo.7515195Fortran, Assembly, SWIGhttps://joss.theoj.org/papers/10.21105/joss.04800.pdfastronomy, cosmology, gravitation, mass-modeling, orbital shapes, kinematics, galaxy clusters, modified gravitytag:joss.theoj.org,2005:Paper/36722022-11-29T10:06:05Z2022-11-30T00:01:31ZALPPACA - A tooL for Prokaryotic Phylogeny And Clustering Analysisaccepted1.0.42022-06-23 10:57:14 UTC792022-11-29 10:06:05 UTC720224677HåkonKaspersenNorwegian Veterinary Institute, Ås, Norway0000-0002-9559-1303EveZeylFiskebeckNorwegian Veterinary Institute, Ås, Norway0000-0002-6858-197810.21105/joss.04677https://doi.org/10.5281/zenodo.7331351R, Nextflowhttps://joss.theoj.org/papers/10.21105/joss.04677.pdfPhylogeny, Prokaryote, Clusteringtag:joss.theoj.org,2005:Paper/26962022-11-25T08:02:12Z2022-11-26T00:00:47ZClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learningaccepted0.1.52021-05-28 15:42:10 UTC792022-11-25 08:02:12 UTC720223527SashaPetrenkoMissouri University of Science and Technology0000-0003-2442-8901DonaldC.WunschMissouri University of Science and Technology0000-0002-9726-905110.21105/joss.03527https://doi.org/10.5281/zenodo.7332045Juliahttps://joss.theoj.org/papers/10.21105/joss.03527.pdfCVI, ICVI, Cluster Validity Indices, Cluster Validity Index, Incremental Cluster Validity Indices, Incremental Cluster Validity Index, Machine Learning, Clustering, Metrics, Streaming, Time Seriestag:joss.theoj.org,2005:Paper/30732022-11-11T11:25:25Z2022-11-14T13:35:42ZFrites: A Python package for functional connectivity analysis and group-level statistics of neurophysiological dataacceptedv0.4.02021-09-21 12:11:23 UTC792022-11-11 11:25:25 UTC720223842EtienneCombrissonInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-7362-3247RuggeroBasanisiInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0003-4776-596XViniciusLimaCordeiroInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France, Institut de Neurosciences des Systèmes, Aix-Marseille Université, UMR 1106 Inserm, 13005, Marseille, France0000-0001-7115-9041RobinA.aInceInstitute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK0000-0001-8427-0507AndreaBrovelliInstitut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France0000-0002-5342-133010.21105/joss.03842https://doi.org/10.5281/zenodo.7278278Pythonhttps://joss.theoj.org/papers/10.21105/joss.03842.pdfpython, cognitive neuroscience, computational neuroscience, neuroinformatics, neurophysiology, information theory, information-based measures, statistics, functional connectivity, fixed-effect ffx, random-effect rfx, cluster-based statistics, MEG EEG sEEG LFPs, Granger causalitytag:joss.theoj.org,2005:Paper/35202022-09-29T19:24:38Z2022-10-11T07:33:56Zsmol: A Python package for cluster expansions and beyondacceptedv0.0.12022-04-27 17:23:30 UTC772022-09-29 19:24:38 UTC720224504LuisBarroso-LuqueDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-6453-9545JuliaH.YangDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-5713-2288FengyuXieDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0002-1169-1690TinaChenDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0003-0254-8339RonaldL.KamDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USAZinabJadidiDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USAPeichenZhongDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0003-1921-1628GerbrandCederDepartment of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA, Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA0000-0001-9275-360510.21105/joss.04504https://doi.org/10.5281/zenodo.7115050Python, Cythonhttps://joss.theoj.org/papers/10.21105/joss.04504.pdfcomputational materials science, lattice models, cluster expansion method, Monte Carlotag:joss.theoj.org,2005:Paper/33032022-07-07T15:15:57Z2022-07-08T00:00:38ZFast k-medoids Clustering in Rust and Pythonaccepted0.2.02022-01-24 11:18:20 UTC752022-07-07 15:15:57 UTC720224183ErichSchubertTU Dortmund University, Informatik VIII, 44221 Dortmund, Germany0000-0001-9143-4880LarsLenssenTU Dortmund University, Informatik VIII, 44221 Dortmund, Germany0000-0003-0037-041810.21105/joss.04183https://doi.org/10.5281/zenodo.6802320https://joss.theoj.org/papers/10.21105/joss.04183.pdfk-Medoids, Clustering, Rust, Pythontag:joss.theoj.org,2005:Paper/32642022-06-25T13:58:33Z2022-06-26T00:01:19ZInterface to high-performance periodic coupled-cluster theory calculations with atom-centered, localized basis functionsacceptedv1.0.02021-12-24 03:42:31 UTC742022-06-25 13:58:33 UTC720224040EvgenyMoermanThe NOMAD Laboratory at the Fritz Haber Institute of the Max Plank Society, Berlin, GermanyFelixHummelInstitute for Theoretical Physics, TU Wien, Vienna, AustriaAndreasGrüneisInstitute for Theoretical Physics, TU Wien, Vienna, AustriaAndreasIrmlerInstitute for Theoretical Physics, TU Wien, Vienna, AustriaMatthiasSchefflerThe NOMAD Laboratory at the Fritz Haber Institute of the Max Plank Society, Berlin, Germany10.21105/joss.04040https://doi.org/10.5281/zenodo.6658117Fortranhttps://joss.theoj.org/papers/10.21105/joss.04040.pdfMaterials science, Quantum chemistry, High-performance, Periodic Coupled Cluster