Time series entropy measurement

Versión 1.0.1 (3,65 KB) por Apdullah YAYIK
feature models; squared, circled, inclined and grid entropy measurement
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Actualizado 12 mar 2021
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Novel feature models; circled entropy measurement (CEM) that calculates data
fall over circled pieced regions, squared entropy measurement (SEM) that calculates data fall over squared pieced regions, inclined entropy measurement (IEM) that calculates
data fall over inclined pieced regions, grid entropy measurement (GEM) that calculates data fall over grid pieced regions in secon-order difference plot (SODP) were introduced.

entropyM main function. applies several entropy measurements
nodp function performs difference plot operation throught given vector X
normD lnear normalization

please gently cite
https://arxiv.org/abs/1907.05888
"Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction", 2019

Citar como

Apdullah YAYIK (2025). Time series entropy measurement (https://github.com/apdullahyayik/entropy-measurements), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
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Versión Publicado Notas de la versión
1.0.1

nodp and normD functions are added
1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.