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Mapper Interactive: A scalable, extendable, and interactive toolbox for the visual exploration of high-dimensional data
The mapper algorithm is a popular tool from topological data analysis for extracting
topological summaries of high-dimensional datasets. In this paper, we present Mapper …
topological summaries of high-dimensional datasets. In this paper, we present Mapper …
A progression analysis of motor features in Parkinson's disease based on the mapper algorithm
LY Ma, T Feng, C He, M Li, K Ren, J Tu - Frontiers in Aging …, 2023 - frontiersin.org
Background Parkinson's disease (PD) is a neurodegenerative disease with a broad
spectrum of motor and non-motor symptoms. The great heterogeneity of clinical symptoms …
spectrum of motor and non-motor symptoms. The great heterogeneity of clinical symptoms …
Stitch fix for mapper and topological gains
The mapper construction is a powerful tool from topological data analysis that is designed
for the analysis and visualization of multivariate data. In this paper, we investigate a method …
for the analysis and visualization of multivariate data. In this paper, we investigate a method …
[PDF][PDF] Stitch Fix for Mapper and Information Gains, Research in Computational Topology, arxiv: 2105.01961
The mapper construction is a powerful tool from topological data analysis that is designed
for the analysis and visualization of multivariate data. In this paper, we investigate a method …
for the analysis and visualization of multivariate data. In this paper, we investigate a method …
[PDF][PDF] Creating Construct Distance Maps with Machine Learning: Stargazing Trust.
Within psychometrics, whether in Psychology or the Management Information Systems (MIS)
discipline, a generalizable distance metric within and between constructs from different …
discipline, a generalizable distance metric within and between constructs from different …