Bag of features is a well established technique for the visual classification of objects, categories of objects and textures. This is an implementation of a simplified version of the method of [1], which is based on the concept of hierarchical K-means dictionary. This technique is appealing because of its simplicity and power. I also used suggestions from [2], namely the extraction of random features