https://github.com/genieframework/stipple-demo-irisclustering
https://github.com/genieframework/stipple-demo-irisclustering
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/genieframework/stipple-demo-irisclustering
- Owner: GenieFramework
- License: mit
- Created: 2020-06-28T18:59:15.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2021-10-08T15:10:36.000Z (over 4 years ago)
- Last Synced: 2025-03-25T04:25:58.006Z (over 1 year ago)
- Language: JavaScript
- Size: 569 KB
- Stars: 14
- Watchers: 4
- Forks: 4
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# NOTE: This repository is deprecated. For new Stipple examples check [this Repository](https://github.com/GenieFramework/StippleDemos)
# Iris flowers dataset k-means clustering dashboard
Demo data dashboard built with
[Stipple.jl](https://github.com/GenieFramework/Stipple.jl),
[StippleUI.jl](https://github.com/GenieFramework/StippleUI.jl),
[StippleCharts.jl](https://github.com/GenieFramework/StippleCharts.jl), and
[Genie.jl](https://github.com/GenieFramework/Genie.jl)
## Installation
Clone/download repo.
Open a Julia REPL and `cd` to the app's dir.
```julia
julia> cd(...the app folder...)
```
Install dependencies
```julia
pkg> activate .
pkg> instantiate
```
Load app
```julia
julia> using Genie
julia> Genie.loadapp()
```
The application will start on port 8100. Open your web browser and navigate to .
Pick the x and y features to render the plots. Use the various slides to control the model.
