Search Results for author: Luis Scoccola

Found 6 papers, 4 papers with code

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures

2 code implementations NeurIPS 2023 David Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot

Most applications of PH focus on the one-parameter case -- where the descriptors summarize the changes in topology of data as it is filtered by a single quantity of interest -- and there is now a wide array of methods enabling the use of one-parameter PH descriptors in data science, which rely on the stable vectorization of these descriptors as elements of a Hilbert space.

Toroidal Coordinates: Decorrelating Circular Coordinates With Lattice Reduction

no code implementations14 Dec 2022 Luis Scoccola, Hitesh Gakhar, Johnathan Bush, Nikolas Schonsheck, Tatum Rask, Ling Zhou, Jose A. Perea

The circular coordinates algorithm of de Silva, Morozov, and Vejdemo-Johansson takes as input a dataset together with a cohomology class representing a $1$-dimensional hole in the data; the output is a map from the data into the circle that captures this hole, and that is of minimum energy in a suitable sense.

FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles

1 code implementation13 Jun 2022 Luis Scoccola, Jose A. Perea

Datasets with non-trivial large scale topology can be hard to embed in low-dimensional Euclidean space with existing dimensionality reduction algorithms.

Dimensionality Reduction

Stable and consistent density-based clustering via multiparameter persistence

1 code implementation18 May 2020 Alexander Rolle, Luis Scoccola

However, we prove that degree-Rips, as a multiparameter object, is stable, and we propose an alternative approach for taking slices of degree-Rips, which yields a one-parameter hierarchical clustering algorithm with better stability properties.

Clustering Topological Data Analysis

Visualization tools for parameter selection in cluster analysis

1 code implementation4 Feb 2019 Alexander Rolle, Luis Scoccola

We propose an algorithm, HPREF (Hierarchical Partitioning by Repeated Features), that produces a hierarchical partition of a set of clusterings of a fixed dataset, such as sets of clusterings produced by running a clustering algorithm with a range of parameters.

Clustering

Localization in Homotopy Type Theory

no code implementations11 Jul 2018 J. Daniel Christensen, Morgan Opie, Egbert Rijke, Luis Scoccola

Our main result is that for a pointed, simply connected type $X$, the natural map $X \to X_{(p)}$ induces algebraic localizations on all homotopy groups.

Algebraic Topology Category Theory 55P60 (Primary), 18E35, 03B15 (Secondary)

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