MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection
In the era of big data, the demand for multivariate time series prediction has surged, drawing
increased attention to feature selection and neural networks in machine learning. However …
increased attention to feature selection and neural networks in machine learning. However …
Distance-weighted K-means Clustering Algorithm Based on Local Density
Z Lv, Q Liu - Proceedings of the 4th International Conference on …, 2023 - dl.acm.org
The traditional K-means clustering method is often affected by the initial selection of center
points, as well as the presence of outliers and edge points during the iterative process. To …
points, as well as the presence of outliers and edge points during the iterative process. To …