= False nearest neighbor algorithm
{wiki=False_nearest_neighbor_algorithm}
The False Nearest Neighbor (FNN) algorithm is a technique used primarily in the context of time series analysis and nonlinear dynamics to determine the appropriate number of embedding dimensions required for reconstructing the state space of a dynamical system. It is particularly useful in the study of chaotic systems. \#\#\# Key Concepts of the FNN Algorithm: 1. **State Space Reconstruction**: In dynamical systems, especially chaotic ones, it is often necessary to reconstruct the state space from a single-time series measurement.
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