Interpretation of Structural Preservation in Low-Dimensional Embeddings

• Published in: IEEE transactions on knowledge and data engineering Vol. 34; no. 5; pp. 2227 - 2240
• Main Authors: Ghosh, Aindrila, Nashaat, Mona, Miller, James, Quader, Shaikh
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; algorithms for data and knowledge management; Approximation algorithms; Bridges; data and knowledge visualization; Data visualization; Datasets; Dimensionality reduction; Embedding; Interactive data exploration and discovery; Manifolds; Optimization; Reduction; Visualization

Despite being commonly used in big-data analytics; the outcome of dimensionality reduction remains a black-box to most of its users. Understanding the quality of a low-dimensional embedding is important as not only it enables trust in the transformed data, but it can also help to select the most app...