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Tag: Tsallis

Why Nonadditive Entropy Is Important for Big Data Corpora Combinations

Why Nonadditive Entropy Is Important for Big Data Corpora Combinations

Non-Additive Entropy – A Crucial Predictive Analysis Measure for Data Mining in Multiple Large Data Corpora Statistical mechanics has an important role to play in big data analytics. Up until now, there has been almost no understanding of how statistical mechanics provides both practical value and a theoretic framework for data analysis and even predictive intelligence (sometimes called predictive analysis). This blogpost focuses on a related – and crucially important – issue: How can we determine the value of combining…

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Nonextensive Statistical Mechanics – Good Read on Advanced Entropy Formulation

Nonextensive Statistical Mechanics – Good Read on Advanced Entropy Formulation

Advances in Thinking about Entropy Starting through Tsallis’s book on entropy; Introduction to Nonextensive Statistical Mechanics. This is a fascinating discussion – really, it’s the roots of philosophy; the real “what-is-so” about the world. Which minimally requires a good solid year or two of graduate-level statistical thermodynamics to even start the read. But worth it. There’s some potential applications of this approach to areas in which I’ve worked before; need to mull this over and jig some ideas about to…

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"Nonadditive Entropy" – An Excellent Review Article

"Nonadditive Entropy" – An Excellent Review Article

New Advances in Entropy Formulation – “Nonadditive Entropy” Well, chalk it up to being newly returned to the fold – after years of work in knowledge discovery, predictive analysis, neural networks, and sensor fusion, I’m finally returning to my roots and re-invigorating some previous work that involves the Cluster Variation Method. In the course of this, I’ve just learned (as a Janie-come-lately) about the major evolution in thinking about entropy, largely led by Constantino Tsallis. He has an excellent review…

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