github-actions[bot]
commented
1 month ago Hi @pavitraag! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!
Is there an existing issue for this?
Feature Description
The t-Distributed Stochastic Neighbor Embedding (t-SNE) feature is a powerful dimensionality reduction technique used to visualize high-dimensional data by mapping it to a lower-dimensional space, typically two or three dimensions. It emphasizes preserving the local structure of the data, making it particularly effective for exploring patterns and clusters within complex datasets.
Use Case
This feature would enhance the project by providing an intuitive and visually appealing way to explore and interpret high-dimensional data. Researchers and data scientists can use t-SNE to uncover hidden patterns, relationships, and clusters in their data, facilitating better understanding and decision-making in various applications such as image recognition, bioinformatics, and customer segmentation.
Benefits
No response
Add ScreenShots
No response
Priority
High
Record