Supplementary materials for "Generating Multidimensional Clusters With Support Lines" Overview This Julia project contains the following files: .JuliaFormatter.toml - Formatting rules for the included code. example.ipynb- Code for the usage example presented in the paper. figures.ipynb - Code for generating the figures for the paper. LICENSE_CODE.txt - The license for the included code. LICENSE_OTHER.txt - The license for the included non-code materials. Manifest.toml - Exact versions of Julia packages used in running the included notebooks. Project.toml - Julia packages required for running the included notebooks. README.md - This file. test_deterministic.ipynb - Check which of the used clustering algorithm implementations are...
This document outlines how to setup and run computations in parallel using Julia on a collection of ...
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
This package contains supplementary materials for the paper "Clustering MOOC Solutions to Diversify ...
This artifact is based on ParallelAccelerator, an embedded domain-specific language (DSL) and compil...
This repository contains the data and code needed to recreate figures in the main and supplementary ...
This repository contains the Julia codes used to generate and plot the figures of the paper 'Extraor...
The code can be used with Julia 1.4.2 and the packages [c52e3926] Atom v0.12.30 [336ed68f] CSV v0.8....
Synthetic data is essential for assessing clustering techniques, complementing and extending real da...
This note explains how MPI may be used with the Julia programming language. An example of a simple M...
In the interest of reproducible research, this is exactly the version of the code used to generate t...
peer reviewedThis article presents the implementation of the material point method (MPM) using Julia...
This results of this research are fully reproducible using the source code, Jupyter notebooks, and r...
This results of this research are fully reproducible using the source code, Jupyter notebooks, and r...
MLJ v0.19.2 Diff since v0.19.1 Closed issues: @from_network does more strange eval stuff (#703) Cre...
MLJ (Machine Learing in Julia) is an open source software package providing a common interface for i...
This document outlines how to setup and run computations in parallel using Julia on a collection of ...
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
This package contains supplementary materials for the paper "Clustering MOOC Solutions to Diversify ...
This artifact is based on ParallelAccelerator, an embedded domain-specific language (DSL) and compil...
This repository contains the data and code needed to recreate figures in the main and supplementary ...
This repository contains the Julia codes used to generate and plot the figures of the paper 'Extraor...
The code can be used with Julia 1.4.2 and the packages [c52e3926] Atom v0.12.30 [336ed68f] CSV v0.8....
Synthetic data is essential for assessing clustering techniques, complementing and extending real da...
This note explains how MPI may be used with the Julia programming language. An example of a simple M...
In the interest of reproducible research, this is exactly the version of the code used to generate t...
peer reviewedThis article presents the implementation of the material point method (MPM) using Julia...
This results of this research are fully reproducible using the source code, Jupyter notebooks, and r...
This results of this research are fully reproducible using the source code, Jupyter notebooks, and r...
MLJ v0.19.2 Diff since v0.19.1 Closed issues: @from_network does more strange eval stuff (#703) Cre...
MLJ (Machine Learing in Julia) is an open source software package providing a common interface for i...
This document outlines how to setup and run computations in parallel using Julia on a collection of ...
This book describes the basics of the Julia programming language DataFrames.jl for data manipulation...
This package contains supplementary materials for the paper "Clustering MOOC Solutions to Diversify ...