Abstract: A method to combine and visualize FFT power spectrum data that utilizes more sensor information and provides a richer output display is provided. In some embodiments, all sensors are analyzed using FFT simultaneously in the frequency ranges of 0.01 Hz to 100 Hz. Gaussian Mixture Models are then used to describe the resultant power spectrum for each sensor. The power spectra from all sensors are then combined at each moment in time. The resulting power spectrum represents the most noticeable frequencies from all sensors at any time without regard to which sensor is picking up the power within a given frequency band. Some embodiments accumulate and combine these sensor-combination power spectra over long time periods and average with several bins.

Abstract: Algorithms and systems for clustering information objects. Objects including metadata may be populated within a k-dimensional grid (K-Grid). A distance function between objects may be calculated, and a cost function may be calculated. Optimization may occur over several iterations by applying random mutation operations on the K-Grid and re-calculation of the cost function.