For a deeper understanding of this project and to gain more insights, I encourage you to read the accompanying article. The article provides additional context and explanations about the project's ...

This project gives a visualization for linear transformations in a 2D vector space. See how vectors and points transform under different matrix operations like shearing, shrinking, and rotating, ...

Abstract: Visualizing the intellectual structure of scientific domains using co-cited units such as references or authors has become a routine for domain analysis. In previous studies, paper-reference ...

Abstract: One problem with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conceptual clustering in ...

Dimension reduction is an indispensable part of modern data science, and many algorithms have been developed. However, different algorithms have their own strengths and weaknesses, making it important ...

Data visualization is a powerful tool to explore, analyze, and communicate data. However, before you can create effective and meaningful visualizations, you need to prepare your data properly. This is ...

Acellular scaffolds obtained via decellularization are a key instrument in regenerative medicine both per se and to drive the development of future-generation synthetic scaffolds that could become ...

Interdisciplinary Faculty, Department Life, Light & Matter (LL&M), University of Rostock, 18051 Rostock, Germany ...

Data visualization is a powerful tool in machine learning (ML) preparation, serving as a bridge between raw data and actionable insights. It's the process of translating complex data sets into visual ...