{"id":19510727,"url":"https://github.com/meta-ben/iris-data_self-organized-map","last_synced_at":"2025-09-04T05:33:43.697Z","repository":{"id":248617072,"uuid":"829193484","full_name":"Meta-Ben/Iris-Data_Self-Organized-Map","owner":"Meta-Ben","description":"2018 - Java Machine Learning Self Organized Map based on Iris.data 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project from 2018 : This project was recovered so don't take commits into accounts``\n\n\u003ch1 align=\"center\"\u003e🤖 IrisData-Self-Organized-Map 🧠\u003c/h1\u003e\n\u003ch3 align=\"center\"\u003e Machine Learning \u003c/h3\u003e\n\u003cp align=\"center\"\u003e\n   \u003ca href=\"https://fr.wikipedia.org/wiki/Java_(langage)\"\u003e \n        \u003cimg src=\"https://img.shields.io/badge/Java-%204--2--1?style=for-the-badge\u0026label=language\u0026color=red\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://fr.wikipedia.org/wiki/FXML\"\u003e \n        \u003cimg src=\"https://img.shields.io/badge/17--0--6-%204--2--1?style=for-the-badge\u0026label=FXML%20Version\u0026color=Greylogo=fxml\u0026logoColor=white\"\u003e\n    \u003c/a\u003e\n  \n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n \u003cimg  src=\"https://i.ibb.co/9mx0jH7/ezgif-2-b46c2aa731.gif\" width=500 height=313\u003e\n\u003c/p\u003e\n\n## Overview\nThis project is a GUI application made with ``FXML``, it allow the user to visualize and predict iris datas using a Self-Organizing Map (SOM)\nand the famous ``iris.data`` dataset as learning base.\n\nThe app learn and categorize iris datas using the file ``datas/iris.data`` and show you a kohonen map of ``neurons`` ( gray square neurons are dead ones )\n\nThen you can use the ``datas/iris_to_predict.data`` to try the prediction ( or create your own ``{whatever_iris}.data`` )\n\n## Features\n1 - ``Play with learning variables on fly`` by modifying the following file ``settings/app_settings.json`` you can for example modify number of ``learning_phases`` or the ``learning_rate``, Rerun the learning phase to take your modification into account\n\n2 - ``Modify neuron categorizing colors on fly`` by modifying the following file ``settings/app_settings.json`` you can play with ``iris-setosa-color`` ``iris-versicolor-color`` or ``iris-virginica-color``, Rerun the learning phase to take your modification into account\n\n3 - ``Predict iris datas`` you can load a non-labeled ``.data`` file like the one used for example in ``datas/iris_to_predict.data`` then ask the program to predict the iris type for each vector in the file\n\n## Run it\nThe github file provide a file named ``IrisData-SOM-1.0-SNAPSHOT.jar`` you can run it with the java command here : ``java --module-path $PATH_TO_FX --add-modules javafx.controls,javafx.fxml -jar IrisData-SOM-1.0-SNAPSHOT.jar``\n\nBUT the prefered way is to use maven (``mvn``) and just do at the root project folder ``mvn javafx:run``\n\n## Build the project\nIf you want to build the project you can follow the steps below :\n\n- If you just want to build an exported jar install maven ( mvn ) and run mvn clean package at the root project folder and skip the step belows !\n- Ensure you have Java installed ( used version for this rebuilt is ``java coretto-11`` )\n- Download [IntelliJ IDEA Community](https://www.jetbrains.com/idea/download/other.html) \n- Open the project using IntelliJ\n- Make a run config using ``IrisDataSomApplication`` as main class and set java version to ``java coretto-11``\n- Then you just have to press build for building the project or run to run it\n\nNote : Build with Java 11 and based on FXML 17.0.6\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeta-ben%2Firis-data_self-organized-map","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmeta-ben%2Firis-data_self-organized-map","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmeta-ben%2Firis-data_self-organized-map/lists"}