Intuitive Research and Technology Corporation

Andrew Craig Hardwick

Kyle Russell

Michael Yohe

Chanler Megan Crowe Cantor

Charles Thomas Etheredge

A system for analyzing distinct datasets with a common index is configurable to (i) receive input data that includes a first set of data and a second set of data that share a common index; (ii) perform a clustering operation on the first set of data to generate a set of clustered data comprising groups representing related datapoints; (iii) identify a set of occurrences within the second set of data (where each occurrence is associated with a respective set of coordinates in the common index), (iv) for each of the set of occurrences: (a) localize search space(s) in the common index using the respective set of coordinates for the occurrence, and (b) facilitate analysis of group(s) of the set of clustered data that are located within the search space(s) to determine whether a relationship exists between the group(s) and the occurrence.

Systems and methods for analyzing distinct datasets with a common index

Techniques are disclosed for aligning fiducial markers that commonly exist in each of multiple different N-dimensional (N-D) data sets. Notably, the N-D data sets are at least three-dimensional (3D) data sets. A first set and a second set of N-D data are accessed. A set of one or more fiducial markers that commonly exist in both those sets are identified. Based on the fiducial markers, one or more transformations are performed to align the two sets. Performing this alignment process results in at least a selected number of the common fiducial markers that exist in the two sets being within a threshold alignment relative to one another.

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Huntsville, AL, United States of America

Andrew Craig Hardwick