DADApy: Distance-based Analysis of DAta-manifolds in Python
DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability density, for performing density-based clustering and for comparing different distance metrics. We review the main functionalities of the package and exemplify its usage in toy cases and in a real-world application. DADApy is freely available under the open-source Apache 2.0 license.
Code (1)
Tasks
ClusteringSimilar Papers 제목 키워드 기반
Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance
Feature selection is essential in the analysis of molecular systems and many other fields, but several uncertainties remain: What is the optimal number of features for a simplified, interpretable model that retains essen…
feature selectiongeomstats: a Python Package for Riemannian Geometry in Machine Learning
We introduce geomstats, a python package that performs computations on manifolds such as hyperspheres, hyperbolic spaces, spaces of symmetric positive definite matrices and Lie groups of transformations. We provide effic…
BIG-bench Machine LearningGPURiemannian optimizationRiemannian Principal Component Analysis
This paper proposes an innovative extension of Principal Component Analysis (PCA) that transcends the traditional assumption of data lying in Euclidean space, enabling its application to data on Riemannian manifolds. The…
Dimensionality ReductionMetric Learning on Manifolds
Recent literature has shown that symbolic data, such as text and graphs, is often better represented by points on a curved manifold, rather than in Euclidean space. However, geometrical operations on manifolds are genera…
ClusteringMetric LearningManifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds
Manifolds discovered by machine learning models provide a compact representation of the underlying data. Geodesics on these manifolds define locally length-minimising curves and provide a notion of distance, which are ke…