เปรียบเทียบวิธี

	Sample Entropy	การวิเคราะห์แฟร็กทัล
สาขาวิชา	ระบบเชิงซ้อน	ระบบเชิงซ้อน
ตระกูล	Machine learning	Machine learning
ปีกำเนิด	2000	1983
ผู้ริเริ่ม	Richman & Moorman	Benoit Mandelbrot
ประเภท	Nonlinear entropy measure	Geometric complexity quantification
แหล่งต้นตำรับ	Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology, 278(6), H2039–H2049.	Mandelbrot, B. B. (1983). The Fractal Geometry of Nature. W. H. Freeman. ISBN: 978-0-7167-1186-5
ชื่อเรียกอื่น	SampEn, Sample Entropy (SampEn), Örneklem Entropisi, Nonlinear Complexity Measure	Box-Counting Analysis, Fractal Dimension Estimation, Multifractal Analysis, Fraktal Analiz
ที่เกี่ยวข้อง	2	2
สรุป	Sample Entropy (SampEn) is a nonlinear measure of the complexity and regularity of a time series. Introduced by Richman and Moorman in 2000 as an improvement over Approximate Entropy (ApEn), it quantifies the likelihood that similar patterns of a given length in the series remain similar when extended by one additional data point. A higher SampEn value indicates greater irregularity and complexity, while a lower value indicates more regularity or self-similarity.	Fractal Analysis quantifies the self-similar, scale-invariant complexity of geometric objects and time series through the fractal dimension D and the Hurst exponent H. Introduced systematically by Benoit Mandelbrot in his 1983 landmark work, the framework extends classical Euclidean geometry to irregular shapes found in nature, finance, physiology, and materials science. It provides a single dimensionless index that captures how completely a pattern fills space across multiple scales.