{"id":21615998,"url":"https://github.com/pharo-ai/gaussian-mixture-model","last_synced_at":"2025-07-03T01:38:12.528Z","repository":{"id":43709366,"uuid":"341176777","full_name":"pharo-ai/gaussian-mixture-model","owner":"pharo-ai","description":"Gaussian Mixture Model (GMM) is an iterative algorithm for fitting the data with multiple normal distributions (gaussians). 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Can be used for classification.\n\n## How to install it?\n\nTo install `gaussian-mixture-model`, go to the Playground (Ctrl+OW) in your [Pharo](https://pharo.org/) image and execute the following Metacello script (select it and press Do-it button or Ctrl+D):\n\n```Smalltalk\nMetacello new\n  baseline: 'AIGaussianMixtureModel';\n  repository: 'github://pharo-ai/gaussian-mixture-model/src';\n  load.\n```\n\n## How to depend on it?\n\nIf you want to add a dependency on `gaussian-mixture-model` to your project, include the following lines into your baseline method:\n\n```Smalltalk\nspec\n  baseline: 'AIGaussianMixtureModel'\n  with: [ spec repository: 'github://pharo-ai/gaussian-mixture-model/src' ].\n```\n\nIf you are new to baselines and Metacello, check out the [Baselines](https://github.com/pharo-open-documentation/pharo-wiki/blob/master/General/Baselines.md) tutorial on Pharo Wiki.\n\n## How to use it?\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpharo-ai%2Fgaussian-mixture-model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpharo-ai%2Fgaussian-mixture-model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpharo-ai%2Fgaussian-mixture-model/lists"}