Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach
![Ehsan Amid on X: "While t-SNE and UMAP are excellent methods for visualizing your data, sometimes the global structure, e.g., continuity of the data manifold, is better preserved using TriMap. See an Ehsan Amid on X: "While t-SNE and UMAP are excellent methods for visualizing your data, sometimes the global structure, e.g., continuity of the data manifold, is better preserved using TriMap. See an](https://pbs.twimg.com/media/FOB1JgRVsAAcl3K.jpg:large)
Ehsan Amid on X: "While t-SNE and UMAP are excellent methods for visualizing your data, sometimes the global structure, e.g., continuity of the data manifold, is better preserved using TriMap. See an
![The 'Swiss roll' data set. On the left, the data is presented in its... | Download Scientific Diagram The 'Swiss roll' data set. On the left, the data is presented in its... | Download Scientific Diagram](https://www.researchgate.net/publication/200688576/figure/fig1/AS:305995638165506@1449966453759/The-Swiss-roll-data-set-On-the-left-the-data-is-presented-in-its-original-form-On.png)
The 'Swiss roll' data set. On the left, the data is presented in its... | Download Scientific Diagram
![Isomap Embedding — An Awesome Approach to Non-linear Dimensionality Reduction | by Saul Dobilas | Towards Data Science Isomap Embedding — An Awesome Approach to Non-linear Dimensionality Reduction | by Saul Dobilas | Towards Data Science](https://miro.medium.com/v2/resize:fit:1200/1*WTcUMYWzRLs733c3hQGIwQ.png)
Isomap Embedding — An Awesome Approach to Non-linear Dimensionality Reduction | by Saul Dobilas | Towards Data Science
![K-means Clustering 3D Plot Swiss roll Dataset. | by Hfahmida Data Science and Business Analytics:TRIDS | Medium K-means Clustering 3D Plot Swiss roll Dataset. | by Hfahmida Data Science and Business Analytics:TRIDS | Medium](https://miro.medium.com/v2/resize:fit:442/1*sOsT-yQIXtnazfCgB8dFOA.png)