Multiview PCA: A methodology of feature extraction and dimension reduction for high-order data
Z Xia, Y Chen, C Xu - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Facing with rapidly increasing demands for analyzing high-order data or multiway data,
feature-extracting methods become imperative for analysis and processing. The traditional …
feature-extracting methods become imperative for analysis and processing. The traditional …
On consistent entropy-regularized k-means clustering with feature weight learning: Algorithm and statistical analyses
S Chakraborty, D Paul, S Das - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Clusters in real data are often restricted to low-dimensional subspaces rather than the entire
feature space. Recent approaches to circumvent this difficulty are often computationally …
feature space. Recent approaches to circumvent this difficulty are often computationally …
Ellipsoid fitting with the Cayley transform
O Melikechi, DB Dunson - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
We introduce Cayley transform ellipsoid fitting (CTEF), an algorithm that uses the Cayley
transform to fit ellipsoids to noisy data in any dimension. Unlike many ellipsoid fitting …
transform to fit ellipsoids to noisy data in any dimension. Unlike many ellipsoid fitting …
Research on the Passenger Flow Distribution Mining of Urban Rail Transit Based on Clustering Algorithm: Taking Beijing as an Instance
J Ma, B Li, Y Liu - Highlights in Science, Engineering and Technology, 2023 - drpress.org
Based on the principal component analysis and k-means cluster analysis, the paper
classified and analyzed the 310 stations of the Beijing subway. According to data such as …
classified and analyzed the 310 stations of the Beijing subway. According to data such as …