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Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab
Research article (Frontiers in Psychology, 2018) · cited 213× · AI/ML
Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab
Summary
Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab is a scholarly article[1].
Key Facts
Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab. Retrieved May 24, 2026, from https://4ort.xyz/entity/calculation-of-average-mutual-information-ami-and-false-nearest-neighbors-fnn-for-the-estimation-of-embedding-parameters
MLA“Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/calculation-of-average-mutual-information-ami-and-false-nearest-neighbors-fnn-for-the-estimation-of-embedding-parameters.
BibTeX@misc{4ortxyz_calculation-of-average-mutual-information-ami-and-false-nearest-neighbors-fnn-for-the-estimation-of-embedding-parameters_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab}}, year = {2026}, url = {https://4ort.xyz/entity/calculation-of-average-mutual-information-ami-and-false-nearest-neighbors-fnn-for-the-estimation-of-embedding-parameters}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Calculation of Average Mutual Information (AMI) and False-Nearest Neighbors (FNN) for the Estimation of Embedding Parameters of Multidimensional Time Series in Matlab — https://4ort.xyz/entity/calculation-of-average-mutual-information-ami-and-false-nearest-neighbors-fnn-for-the-estimation-of-embedding-parameters (retrieved 2026-05-24)
