The present invention provides a method for detection of different ontologies using advanced unsupervised machine learning which will be used to visualize factors not visible to the human observer, such as unknown characteristics between imaging datasets and other factors to provide insights into the structure of the data. This methodology is referred to herein as Contribution Scattergram. An example includes using radiological images to determine a relationship in dimension, structure, and distance between each parameter. This information can be used to determine if changes in the images have occurred and for treatment response.
