Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.
最近更新: 4年多前This projects integrated with the notes made and organized by me in the process of studying, and it includes JavaSE, JavaWeb (SpringMVC, Spring,, Mybatis, Spring Boot, Spring Cloud, etc.), BigData (Linux, Hadoop, MapReduce, Hive, Spark, etc.), etc. And I think this can not only help myself to unstandard this knowledge better, but also benefit other learners who is interested in these knowledge. And if you have any suggestions or you find some misunstandings for these notes, you can contact with me either by email or leave a message in corresponding issue, thank you.
最近更新: 4年多前:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
最近更新: 4年多前Solving Traveling Salesman Problem using Kohonen Self-organizing Maps
最近更新: 4年多前为帮助开发者快速熟悉HarmonyOS和OpenHarmony SDK所提供的API和应用开发流程，我们提供了一系列的应用示例
最近更新: 4年多前
