A new approach to clustering and object detection with independent component analysis

It has previously been suggested that the visual cortex performs a data analysis similar to independent component analysis (ICA). Based on this idea we show that an incomplete ICA can be used to efficiently cluster independent components. We apply this algorithm to toy data, fMRI data and a set of natural scenes and show that this approach to clustering offers a wide variety of applications