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coverage](https://img.shields.io/codecov/c/github/mljs/hclust.svg)](https://codecov.io/gh/mljs/hclust)\n[![license](https://img.shields.io/npm/l/ml-hclust.svg)](https://github.com/mljs/hclust/blob/main/LICENSE)\n\nHierarchical clustering algorithms in JavaScript.\n\n## Installation\n\n```console\nnpm install ml-hclust\n```\n\n## [API Documentation](https://mljs.github.io/hclust/)\n\n## Usage\n\n### AGNES\n\n```js\nconst { agnes } = require('ml-hclust');\n\nconst tree = agnes(data, {\n  method: 'ward',\n});\n```\n\n## Implemented algorithms\n\n- [x] [AGNES](http://dx.doi.org/10.1002/9780470316801.ch5) (AGglomerative NESting): Continuously merge nodes that have the least dissimilarity.\n- [ ] [DIANA](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470276800.html) (Divisive ANAlysis): The process starts at the root with all the points as one cluster and recursively splits the higher level clusters to build the dendrogram.\n- [ ] [BIRCH](http://www.cs.sfu.ca/CourseCentral/459/han/papers/zhang96.pdf) (Balanced Iterative Reducing and Clustering using Hierarchies): Incrementally construct a CF (Clustering Feature) tree, a hierarchical data structure for multiphase clustering\n- [ ] [CURE](http://www.cs.bu.edu/fac/gkollios/ada05/LectNotes/guha98cure.pdf) (Clustering Using REpresentatives):\n- [ ] [CHAMELEON](http://www.google.ch/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCQQFjAAahUKEwj6t4n_sZbGAhXDaxQKHXCLCmQ&url=http%3A%2F%2Fglaros.dtc.umn.edu%2Fgkhome%2Ffetch%2Fpapers%2FchameleonCOMPUTER99.pdf&ei=kDqBVfqvKsPXUfCWqqAG&usg=AFQjCNEYcGqCxN5N_GlP4Z__UF09aHegQg&sig2=9JkxZ5VS7iDbiJT-imX5Pg&bvm=bv.96041959,d.d24&cad=rja)\n\n## Test\n\n```console\nnpm install\nnpm test\n```\n\n## Authors\n\n- [Miguel Asencio](https://github.com/maasencioh)\n- [Michael Zasso](https://github.com/targos)\n\n## License\n\n[MIT](./LICENSE)\n","readmeFilename":"README.md","users":{"maasencioh":true}}