Privacy Policies

t-SNE Explorer Privacy Policy

Last Updated: January 14, 2026

Developer: Yu, Yao-hsing
Application: t-SNE Explorer
Store ID: 9P969D6N7P6J

1. OVERVIEW

t-SNE Explorer is a transparent t-SNE (t-Distributed Stochastic Neighbor Embedding) visualization tool designed to help users analyze and visualize high-dimensional data in 2D space. This privacy policy explains our data handling practices.

2. DATA COLLECTION

t-SNE Explorer DOES NOT collect, transmit, or share any personal information or user data.

3. LOCAL DATA STORAGE

The application stores the following data LOCALLY on your device only:

• User-uploaded CSV files and images
• Generated datasets (synthetic points, MNIST data)
• t-SNE computation results
• Application settings and preferences

All data is stored in the following local directory:
C:\Users\<YourUsername>\.t-sne\

This data is NOT transmitted to any external servers or third parties.

4. MNIST DATASET

When you choose to load the MNIST handwritten digits dataset:

• The dataset is downloaded from OpenML (sklearn's fetch_openml)
• Data is downloaded directly to your local machine
• No usage analytics or download tracking is performed
• The dataset is cached locally for future use

5. INTERNET CONNECTIVITY

The application requires internet connection ONLY for:

• Downloading the MNIST dataset (one-time, on user request)
• No analytics, telemetry, or tracking data is transmitted
• No advertisements or external content is loaded

6. NO THIRD-PARTY SERVICES

t-SNE Explorer does NOT use:

• Analytics services (Google Analytics, etc.)
• Advertising networks
• Cloud storage services
• User tracking or profiling tools
• Crash reporting services that transmit data externally

7. DATA SECURITY

• All data processing occurs locally on your device
• No data is uploaded to remote servers
• You have full control over your data
• You can delete all stored data by removing the .t-sne folder

8. PERMISSIONS

The application requires the following permissions:

• File System Access: To read uploaded CSV/image files and save results
• Internet Access: To download MNIST dataset (optional, user-initiated only)
• Desktop Access: To display the application window

9. CHILDREN'S PRIVACY

t-SNE Explorer does not knowingly collect any information from children or anyone else. The application is safe for users of all ages.

10. OPEN SOURCE

The application's source code is transparent and can be reviewed to verify our privacy claims.

11. YOUR RIGHTS

You have the right to:

• Access all your locally stored data (in .t-sne folder)
• Delete all your data at any time
• Use the application completely offline (except MNIST download)
• Export your results in various formats

12. DATA RETENTION

• Data is retained locally until you manually delete it
• Uninstalling the application does NOT automatically delete the .t-sne folder
• To completely remove all data, manually delete C:\Users\<YourUsername>\.t-sne\

13. CHANGES TO THIS POLICY

Any changes to this privacy policy will be reflected in application updates. The "Last Updated" date at the top will be modified accordingly.

14. CONTACT INFORMATION

For questions or concerns about this privacy policy:

• Developer: Yu, Yao-hsing
• Application: t-SNE Explorer
• Store ID: 9P969D6N7P6J
• Package Family Name: YuYao-hsing.T-SNE_c5s549jf2x494

15. SUMMARY

t-SNE Explorer is a privacy-focused application that:

• ✓ Processes all data locally
• ✓ Does NOT collect personal information
• ✓ Does NOT transmit user data
• ✓ Does NOT use analytics or tracking
• ✓ Gives users full control over their data
• ✓ Requires internet only for optional MNIST download

Your privacy is important to us. t-SNE Explorer is designed to be completely transparent and respect your data privacy at all times.

Manim Studio Privacy Policy

Last Updated: January 2025

1. INTRODUCTION

Manim Studio is a desktop application for creating mathematical animations using the Manim library. This privacy policy explains how the application handles your data.

2. DATA COLLECTION

Manim Studio does NOT collect, transmit, or share any personal data. All operations are performed locally on your computer.

3. LOCAL DATA STORAGE

The application stores the following data locally on your device:

• User Settings: Application preferences are saved in a local settings.json file
• Autosave Files: Code is automatically saved to a local autosave directory for recovery purposes
• Project Files: Any Python scripts or media files you create are stored in locations you choose
• Rendered Media: Animation outputs (videos, images) are stored locally in temporary or user-specified directories

4. NO INTERNET DATA TRANSMISSION

Manim Studio operates entirely offline. The application does not:

• Send any data to external servers
• Collect analytics or usage statistics
• Require user accounts or registration
• Access cloud storage services

5. THIRD-PARTY SERVICES

This application does not integrate with any third-party services that would collect your data.

6. DATA SECURITY

Since all data remains on your local machine, security is maintained through your operating system's file permissions and security measures.

7. USER CONTROL

You have full control over your data:

• Delete autosave files at any time through the application
• Remove settings by deleting the settings.json file
• All project files are stored in locations you specify

8. CHILDREN'S PRIVACY

Manim Studio does not collect any personal information from anyone, including children.

9. CHANGES TO THIS POLICY

Any updates to this privacy policy will be reflected in the "Last Updated" date above.

10. CONTACT

For questions about this privacy policy, please visit the project repository or contact the developer.

---

This application respects your privacy by design. Your code, animations, and creative work remain entirely yours.

Generalized Covariance Matrix Privacy Policy

Last Updated: November 26, 2025

1. INTRODUCTION

This Privacy Policy describes how Generalized Covariance Matrix ("we", "our", or "the App") handles your information. We are committed to protecting your privacy and ensuring transparency about our data practices.

2. INFORMATION COLLECTION AND USE

2.1 Local Processing

Generalized Covariance Matrix is designed as a local application that runs entirely on your device. We do not collect, transmit, or store any personal information on external servers.

2.2 Data We Do Not Collect

We do not collect:

• Personal identification information (name, email, address, phone number)
• Location data
• Usage analytics or telemetry
• Device information
• Cookies or tracking data

3. LOCAL DATA STORAGE

3.1 Temporary Files

The App may create temporary files on your local device during operation, including:

• Computed results and visualizations
• Image processing outputs
• Analysis session data

These files are stored locally in your user directory (e.g., .random_matrix folder) and remain entirely under your control.

3.2 User-Generated Content

Any images, data, or files you import or process within the App remain on your local device. You have complete control over these files and can delete them at any time.

4. THIRD-PARTY SERVICES

The App does not integrate with any third-party analytics, advertising, or tracking services. All computations and processing occur locally on your device.

5. DATA SECURITY

Since all data processing occurs locally on your device, the security of your data depends on:

• Your device's security settings and protections
• Your operating system's file permissions
• Your local backup and security practices

We recommend following standard security best practices for your device and operating system.

6. CHILDREN'S PRIVACY

The App does not knowingly collect any information from children under the age of 13. The App is designed for research, education, and professional use in mathematical analysis and signal processing.

7. CHANGES TO THIS PRIVACY POLICY

We may update this Privacy Policy from time to time. Any changes will be reflected in the "Last Updated" date at the top of this document. We encourage you to review this Privacy Policy periodically.

8. DATA DELETION

Since all data is stored locally on your device, you can delete any data created by the App at any time by:

• Using the App's built-in folder management features
• Manually deleting files from your local storage
• Uninstalling the App

9. OPEN SOURCE

This application is open source. You can review the source code to verify our privacy practices at our GitHub repository.

10. YOUR RIGHTS

Since we do not collect or store any personal data on external servers, traditional data rights (access, rectification, erasure, portability) are not applicable. All your data remains under your complete control on your local device.

11. CONTACT INFORMATION

If you have any questions or concerns about this Privacy Policy, please contact us at:

• GitHub: https://github.com/yu314-coder/random_matrix_ESD

12. CONSENT

By using Generalized Covariance Matrix, you consent to this Privacy Policy.

---

This Privacy Policy applies to the Generalized Covariance Matrix application available on the Microsoft Store and other distribution platforms.