K-Means is an interesting, simple, and pretty intuitive algorithm. It turns out it can do more than just clustering, for example classification.| Alexandru Burlacu
Working with images can be a very time-consuming task, especially if you have many images to work on. Machine learning can thus be a great time-saver for various image analysis and editing tasks, such as finding the dominant colors of an image thanks to the K-means clustering algorithm. The K-means clustering algorithm defines a number … Continue reading "Finding the dominant colors in an image with k-means"| AILEPHANT