Hierarchical Linkage Clustering Beyond Binary Trees and Ultrametrics
Fuente:
arXiv
Saved in:
| Main Authors: | Dreveton, Maximilien, Grossglauser, Matthias, Kuroda, Daichi, Thiran, Patrick |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
by: Dreveton, Maximilien, et al.
Published: (2023)
by: Dreveton, Maximilien, et al.
Published: (2023)
Optimal Graph Clustering without Edge Density Signals
by: Dreveton, Maximilien, et al.
Published: (2025)
by: Dreveton, Maximilien, et al.
Published: (2025)
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
by: Dreveton, Maximilien, et al.
Published: (2024)
by: Dreveton, Maximilien, et al.
Published: (2024)
Why the Metric Backbone Preserves Community Structure
by: Dreveton, Maximilien, et al.
Published: (2024)
by: Dreveton, Maximilien, et al.
Published: (2024)
Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)
by: Elahi, Sepehr, et al.
Published: (2024)
Hierarchical and Density-based Causal Clustering
by: Kim, Kwangho, et al.
Published: (2024)
by: Kim, Kwangho, et al.
Published: (2024)
Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
by: Apfel, Nicolas, et al.
Published: (2021)
by: Apfel, Nicolas, et al.
Published: (2021)
Hierarchical Clustering With Confidence
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
by: Tamano, Hiroshi, et al.
Published: (2025)
by: Tamano, Hiroshi, et al.
Published: (2025)
Sequential Adaptive Priors for Orthogonal Functions
by: Sugasawa, Shonosuke, et al.
Published: (2025)
by: Sugasawa, Shonosuke, et al.
Published: (2025)
Almost exact recovery in noisy semi-supervised learning
by: Avrachenkov, Konstantin, et al.
Published: (2020)
by: Avrachenkov, Konstantin, et al.
Published: (2020)
Weighted Sum-of-Trees Model for Clustered Data
by: McCoy, Kevin, et al.
Published: (2026)
by: McCoy, Kevin, et al.
Published: (2026)
Causal Discovery on Dependent Binary Data
by: Chen, Alex, et al.
Published: (2024)
by: Chen, Alex, et al.
Published: (2024)
Boldness-Recalibration for Binary Event Predictions
by: Guthrie, Adeline P., et al.
Published: (2023)
by: Guthrie, Adeline P., et al.
Published: (2023)
Cluster Quilting: Spectral Clustering for Patchwork Learning
by: Zheng, Lili, et al.
Published: (2024)
by: Zheng, Lili, et al.
Published: (2024)
Hierarchical Causal Models
by: Weinstein, Eli N., et al.
Published: (2024)
by: Weinstein, Eli N., et al.
Published: (2024)
Clustered Mallows Model
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
by: Piancastelli, Luiza S. C., et al.
Published: (2024)
IOCC: Aligning Semantic and Cluster Centers for Few-shot Short Text Clustering
by: Yin, Jixuan, et al.
Published: (2025)
by: Yin, Jixuan, et al.
Published: (2025)
Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
by: Ying, Chao, et al.
Published: (2025)
by: Ying, Chao, et al.
Published: (2025)
Generalized Prediction-Powered Inference, with Application to Binary Classifier Evaluation
by: Zou, Runjia, et al.
Published: (2026)
by: Zou, Runjia, et al.
Published: (2026)
The Why and How of Convex Clustering
by: Chi, Eric C., et al.
Published: (2025)
by: Chi, Eric C., et al.
Published: (2025)
Interpretable Clustering with the Distinguishability Criterion
by: Turfah, Ali, et al.
Published: (2024)
by: Turfah, Ali, et al.
Published: (2024)
Causal K-Means Clustering
by: Kim, Kwangho, et al.
Published: (2024)
by: Kim, Kwangho, et al.
Published: (2024)
Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)
by: Wu, Qiuyi, et al.
Published: (2026)
Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
by: Goddard, Austin, et al.
Published: (2024)
by: Goddard, Austin, et al.
Published: (2024)
Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions
by: Song, Yao, et al.
Published: (2025)
by: Song, Yao, et al.
Published: (2025)
Clustering and Pruning in Causal Data Fusion
by: Tabell, Otto, et al.
Published: (2025)
by: Tabell, Otto, et al.
Published: (2025)
Cluster weighted models for functional data
by: Anton, Cristina, et al.
Published: (2025)
by: Anton, Cristina, et al.
Published: (2025)
Clustering Three-Way Data with Outliers
by: Clark, Katharine M., et al.
Published: (2023)
by: Clark, Katharine M., et al.
Published: (2023)
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
by: Li, Zijian, et al.
Published: (2025)
by: Li, Zijian, et al.
Published: (2025)
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by: Ma, Chenchen, et al.
Published: (2021)
by: Ma, Chenchen, et al.
Published: (2021)
Cluster and then Embed: A Modular Approach for Visualization
by: Coda, Elizabeth, et al.
Published: (2025)
by: Coda, Elizabeth, et al.
Published: (2025)
funOCLUST: Clustering Functional Data with Outliers
by: Clark, Katharine M., et al.
Published: (2025)
by: Clark, Katharine M., et al.
Published: (2025)
Finding Outliers in Gaussian Model-Based Clustering
by: Clark, Katharine M., et al.
Published: (2019)
by: Clark, Katharine M., et al.
Published: (2019)
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis
by: Sandler, Adam, et al.
Published: (2019)
by: Sandler, Adam, et al.
Published: (2019)
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
by: Ter-Minassian, Lucile, et al.
Published: (2024)
by: Ter-Minassian, Lucile, et al.
Published: (2024)
Partial VOROS: A Cost-aware Performance Metric for Binary Classifiers with Precision and Capacity Constraints
by: Ratigan, Christopher, et al.
Published: (2025)
by: Ratigan, Christopher, et al.
Published: (2025)
Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)
by: Shi, Rui, et al.
Published: (2025)
Qini Curve Estimation under Clustered Network Interference
by: Karlsson, Rickard, et al.
Published: (2025)
by: Karlsson, Rickard, et al.
Published: (2025)
Crowdsourcing Without People: Modelling Clustering Algorithms as Experts
by: Lorentz, Jordyn E. A., et al.
Published: (2025)
by: Lorentz, Jordyn E. A., et al.
Published: (2025)
Similar Items
-
When Does Bottom-up Beat Top-down in Hierarchical Community Detection?
by: Dreveton, Maximilien, et al.
Published: (2023) -
Optimal Graph Clustering without Edge Density Signals
by: Dreveton, Maximilien, et al.
Published: (2025) -
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
by: Dreveton, Maximilien, et al.
Published: (2024) -
Why the Metric Backbone Preserves Community Structure
by: Dreveton, Maximilien, et al.
Published: (2024) -
Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)