Research Article
Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series
Algorithm 1
The Wishart clustering algorithm.
| determine = distance to the sample’s -nearest neighbor; | | sort in ascending order; | | q = 1; | | for each subgraph : | | while : | | = newly added vertex of the subgraph; | | if is not connected to any clusters: | | start new cluster; | | else: | | if connected to the vertices of clusters : | | if all clusters are completed: | | = 0; | | else: | | = number of significant clusters; | | if or = 0: | | = 0; | | label significant clusters as completed; | | delete labels of insignificant clusters; | | else: | | merge clusters into ; | | = ; | | set for samples in ; | | q = q + 1; |
|