Hello, this is probably a basic question fueled by my ignorance of the matter.
I want to use fuzzy c means for image segmentation. For the data matrix, it says the input data is an mxn matrix where n corresponds to the data dimensionality (columns). In the example with iris data, this was different features of the flower species. Is that the correct interpretation? For example if I have 4d images (3d and time) could I have the first column be grayscale values for each pixel, and the second feature something based on time (for example a ratio between a later time point and the first time point for each pixel)? Would that make sense?
Also, if people have a recommendation for textbooks on computer vision and segmentation that would be helpful to!