Persistent homology: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

27 June 2024

  • curprev 23:0123:01, 27 June 2024‎ Ai talk contribs‎ 6,050 bytes +6,050‎ Created page with "== Introduction == Persistent homology is a method used in topological data analysis (TDA) to study the shape and features of data. It provides a multi-scale description of the topological features of a space, such as connected components, loops, and voids, by analyzing how these features persist across different scales. This technique is particularly useful in understanding the underlying structure of complex datasets, which may not be easily discernible through tr..."
Retrieved from "https://canonica.ai/page/Persistent_homology"