Cover Image

Hierarchical clustering with maximum density paths and mixture models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ritzert, Martin, Turishcheva, Polina, Hansel, Laura, Wollenhaupt, Paul, Weis, Marissa A., Ecker, Alexander S.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions
by: Turishcheva, Polina, et al.
Published: (2024)

Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
by: Do, Dat, et al.
Published: (2024)

Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering
by: Sokoloski, Sacha, et al.
Published: (2022)

Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors
by: Bilancia, Massimo, et al.
Published: (2024)

Reproducibility of predictive networks for mouse visual cortex
by: Turishcheva, Polina, et al.
Published: (2024)

Learning to cluster neuronal function
by: Nellen, Nina S., et al.
Published: (2025)

Boosting, Voting Classifiers and Randomized Sample Compression Schemes
by: da Cunha, Arthur, et al.
Published: (2024)

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport
by: Vayer, Titouan, et al.
Published: (2025)

Hierarchical Policy Blending as Inference for Reactive Robot Control
by: Hansel, Kay, et al.
Published: (2022)

A Circular Argument : Does RoPE need to be Equivariant for Vision?
by: van de Geijn, Chase, et al.
Published: (2025)

Hierarchical clustering that takes advantage of both density-peak and density-connectivity
by: Zhu, Ye, et al.
Published: (2018)

Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
by: Neal, Mackenzie R., et al.
Published: (2026)

AdaBoost is not an Optimal Weak to Strong Learner
by: Høgsgaard, Mikael Møller, et al.
Published: (2023)

Hierarchical mixture of discriminative Generalized Dirichlet classifiers
by: Togban, Elvis, et al.
Published: (2024)

Internal Evaluation of Density-Based Clusterings with Noise
by: Beer, Anna, et al.
Published: (2025)

Improving clustering quality evaluation in noisy Gaussian mixtures
by: de Amorim, Renato Cordeiro, et al.
Published: (2025)

A simulation study of cluster search algorithms in data set generated by Gaussian mixture models
by: Motegi, Ryosuke, et al.
Published: (2024)

Hierarchical clustering with dot products recovers hidden tree structure
by: Gray, Annie, et al.
Published: (2023)

Copula-based mixture model identification for subgroup clustering with imaging applications
by: Zheng, Fei, et al.
Published: (2025)

Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023)

Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks
by: Cheng, Liang, et al.
Published: (2024)

Distinguished In Uniform: Self Attention Vs. Virtual Nodes
by: Rosenbluth, Eran, et al.
Published: (2024)

Graph Machine Learning for Design of High-Octane Fuels
by: Rittig, Jan G., et al.
Published: (2022)

Bayesian geoacoustic inversion using mixture density network
by: Wu, Guoli, et al.
Published: (2020)

Consistency for constrained maximum likelihood estimation and clustering based on mixtures of elliptically-symmetric distributions under general data generating processes
by: Coretto, Pietro, et al.
Published: (2023)

FuelCast: Benchmarking Tabular and Temporal Models for Ship Fuel Consumption
by: Viga, Justus, et al.
Published: (2025)

Fast sampling and model selection for Bayesian mixture models
by: Newman, M. E. J.
Published: (2025)

Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations
by: Bonafos, Guillem, et al.
Published: (2024)

Revisiting RIP guarantees for sketching operators on mixture models
by: Belhadji, Ayoub, et al.
Published: (2023)

Stochastic stem bucking using mixture density neural networks
by: Schmiedel, Simon
Published: (2024)

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
by: Aryal, Sunil, et al.
Published: (2024)

The Effects of Randomness on the Stability of Node Embeddings
by: Schumacher, Tobias, et al.
Published: (2020)

Hierarchical clustering of complex energy systems using pretopology
by: Levy, Loup-Noe, et al.
Published: (2025)

Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm
by: Huang, Junjun, et al.
Published: (2026)

A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory
by: Radmard, Puria, et al.
Published: (2025)

A provable initialization and robust clustering method for general mixture models
by: Jana, Soham, et al.
Published: (2024)

Sequential Subspace Noise Injection Prevents Accuracy Collapse in Certified Unlearning
by: Dolgova, Polina, et al.
Published: (2026)

Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
by: Dolgova, Polina, et al.
Published: (2026)

Do traveling waves make good positional encodings?
by: van de Geijn, Chase, et al.
Published: (2025)

Clifford Algebraic Rotor Embeddings : Maybe embeddings should start to CARE
by: Sriram, Sameeksha, et al.
Published: (2025)