Self-learning locator for mobile device

A machine-implemented method for locating a mobile device, the method comprising:

• accessing a plurality of scans of wireless network access signaling, the scans indicating received signal measurement results;
• computing comparisons between the data of different scans in order to assess similarity between those scans, wherein the comparisons produce multi-dimensional comparison results;
• reducing dimensionality while maintaining similarity properties of the multi-dimensional comparison results, the similarity properties including at least one of distances, variation, or structure, including mapping the multi-dimensional comparison results to a lower-dimensional space, to produce a dimension-reduced set of comparison results;
• and
• identifying groupings of similar scans based on the dimension-reduced set of comparison results.

At least one non-transitory computer-readable medium containing instructions that, when executed on a computing platform, cause the computing platform to execute operations comprising:

• accessing a plurality of scans of wireless network access signaling, the scans indicating received signal measurement results;
• computing comparisons between the data of different scans in order to assess similarity between those scans, wherein the comparisons produce multi-dimensional comparison results;
• reducing dimensionality while maintaining similarity properties of the multi-dimensional comparison results, the similarity properties including at least one of distances, variation, or structure, including mapping the multi-dimensional comparison results to a lower-dimensional space, to produce a dimension-reduced set of comparison results;
• and
• identifying groupings of similar scans based on the dimension-reduced set of comparison results.