This is a wrapper of this KMeans implementation: https://github.com/eugenp/tutorials...va/com/baeldung/algorithms/kmeans/KMeans.java
KMeans is an unsupervised machine learning algorithm.
I have used it to detect the dominants color of a image: Detect dominant colors of images
I used the built-in KMeans class in weka in this project. But since weka is GPL licensed, I cannot distribute it without open source my app. It should not be difficult to implement KMeans in B4X, but as I found the existing java code. I decided to make a wrapper.
KMeans is an unsupervised machine learning algorithm.
I have used it to detect the dominants color of a image: Detect dominant colors of images
I used the built-in KMeans class in weka in this project. But since weka is GPL licensed, I cannot distribute it without open source my app. It should not be difficult to implement KMeans in B4X, but as I found the existing java code. I decided to make a wrapper.
