An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints

X Gao, J Liang, W Wang, X Bai, L Jia - International Journal of Machine …, 2022 - Springer
… the dimensionality reduction and visualization results of multi-manifold. The smaller \(\alpha\)
is… of UMD-Isomap, such as image recognition, scene classification and speech recognition. …

Multi-manifold discriminant local spline embedding

P He, X Xu, X Chang, J Ding, S Chen - Pattern Recognition, 2022 - Elsevier
classification, named Multi-manifold Discriminant Local Spline Embedding (MDLSE). It
consists of two parts: multiple intra-manifold local spline embedding and discriminantvisualize

Generalized clustering and multi-manifold learning with geometric structure preservation

L Wu, Z Liu, J Xia, Z Zang, S Li… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
… In this paper, we propose a novel Generalized Clustering and Multi-manifold Learning (…
Multi-manifold discriminant isomap for visualization and classification. Pattern Recognition, …

M3DNet: A manifold-based discriminant feature learning network for hyperspectral imagery

Z Li, H Huang, Y Li, Y Pan - Expert Systems with Applications, 2020 - Elsevier
… phenomena when traditional methods are introduced for classification. Therefore, it is urged
… nature limits their discriminative ability for classification. Linear discriminant analysis (LDA) …

Multi-manifold locality graph preserving analysis for hyperspectral image classification

G Shi, H Huang, Z Li, Y Duan - Neurocomputing, 2020 - Elsevier
ISOMAP characterizes the data distribution by geodesic distances instead of … of multi-manifold
structure and spectral information in HSI to extract discriminant features for classification, …

Supervised discriminant isomap with maximum margin graph regularization for dimensionality reduction

H Qu, L Li, Z Li, J Zheng - Expert Systems with Applications, 2021 - Elsevier
… dimensionality reduction methods, Isomap has been widely … However, Isomap has the
following problems: (1) Isomap is … discriminative low dimensional embedding for classification; (2) …

Local manifold-based sparse discriminant learning for feature extraction of hyperspectral image

Y Duan, H Huang, Z Li, Y Tang - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… are beneficial to reveal the local multimanifold structure and select suitable sparse neighbors
… to extract useful discriminating features for improving HSI classification performance. The …

Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

Z Wang, Y Zhou, T Takagi, J Song, YS Tian… - BMC …, 2023 - Springer
… cancer classification and compare the classification performance. We show the visualization
… For example, Multi-manifold Discriminant Isomap (MMD-Isomap) [55] and semi-supervised …

Adaptive Feature Selection and Hyper-spectral Image Classification using Manifold Learning Techniques

A Ashraf, NM Navi, M Aamir - IEEE Access, 2023 - ieeexplore.ieee.org
Visualizing high-dimensional data in smaller dimensions is … the discriminant function and
then establish the discriminant … Li, ‘‘Semisupervised local multi-manifold isomap by linear …

t-SNE for Complex Multi-Manifold High-Dimensional Data

B Rongzheng, Z Jian, Z Liang, J Peng… - Journal of Computer …, 2021 - jcad.cn
… 最重要的是不同于 MMD-Isomap 与 MM-LLE, 本文 方法是无监督的, 在降维之前不需要得知…
Multi-manifold discriminant Isomap for visualization and classification[J]. Pattern Recognition…