Dec 1, 2020 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. Attachments jKMeans.zip jKMeans.zip 10.8 KB · Views: 756 src.zip src.zip 8.9 KB · Views: 757 Click to expand...
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.
