Efficient Mass-Scale Classifications

In a previous article, I introduced software that can quickly classify datasets consisting of millions of observations. Attached is code that builds upon this software, by embedding mass-scale data in Euclidean space. Specifically, the attached code can take a set of observations in 3-space, and map them to the real line, allowing a large number of observations to be analyzed as a simple set of real numbers. This allows for efficient manipulation after the fact, since you can compress an extremely large number of observations into a single real number.

This is just the first part of a larger package of software that I’m working on that is geared towards solving problems in thermodynamics, that will ultimately allow for radically efficient analysis of complex problems in physics on consumer devices.

calculate_embedding

CMND_LINE

compare_states

Qsort_EMC


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