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Found 4 papers, 1 papers with code
Topological Data Analysis in smart manufacturing processes -- A survey on the state of the art
Topological Data Analysis (TDA) is a mathematical method using techniques from topology for the analysis of complex, multi-dimensional data that has been widely and successfully applied in several fields such as medicine, material science, biology, and others.
Multi-Parameter Persistent Homology is Practical (Extended Abstract)
Multi-parameter persistent homology is a branch of topological data analysis that is notorious for being more difficult than the standard (one-parameter) version, both in theory and for algorithmic problems.
A Kernel for Multi-Parameter Persistent Homology
Topological data analysis and its main method, persistent homology, provide a toolkit for computing topological information of high-dimensional and noisy data sets.
Clear and Compress: Computing Persistent Homology in Chunks
We present a parallelizable algorithm for computing the persistent homology of a filtered chain complex.
Algebraic Topology
