An objective function for order preserving hierarchical clustering
Fuente:
arXiv
Saved in:
| Main Author: | Bakkelund, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)
by: Mun, Jongmin, et al.
Published: (2025)
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)
by: Schneider, Jesse, et al.
Published: (2026)
Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025)
by: Dominguez, Alejandro Rodriguez
Published: (2025)
Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025)
by: Dominguez, Alejandro Rodriguez
Published: (2025)
Functional Clustering of Discount Functions for Behavioral Investor Profiling
by: Porreca, Annamaria, et al.
Published: (2024)
by: Porreca, Annamaria, et al.
Published: (2024)
On the use of graph models to achieve individual and group fairness
by: Pérez-Peralta, Arturo, et al.
Published: (2026)
by: Pérez-Peralta, Arturo, et al.
Published: (2026)
Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance
by: Scheidegger, Simon
Published: (2026)
by: Scheidegger, Simon
Published: (2026)
Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
by: Li, ZhiMing, et al.
Published: (2026)
by: Li, ZhiMing, et al.
Published: (2026)
Proof-Carrying No-Arbitrage Surfaces: Constructive PCA-Smolyak Meets Chain-Consistent Diffusion with c-EMOT Certificates
by: Zhang, Jian'an
Published: (2025)
by: Zhang, Jian'an
Published: (2025)
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
by: Wissgott, Philipp
Published: (2025)
by: Wissgott, Philipp
Published: (2025)
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)
by: Høyheim, Eirik, et al.
Published: (2025)
Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
by: Hubin, Aliaksandr
Published: (2025)
by: Hubin, Aliaksandr
Published: (2025)
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025)
by: Frommlet, Florian, et al.
Published: (2025)
Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
by: Wissgott, Philipp
Published: (2026)
by: Wissgott, Philipp
Published: (2026)
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
by: Liu, Yichen
Published: (2025)
by: Liu, Yichen
Published: (2025)
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)
by: Cabral, Rafael, et al.
Published: (2024)
Algebraic Machine Learning: Learning as computing an algebraic decomposition of a task
by: Martin-Maroto, Fernando, et al.
Published: (2025)
by: Martin-Maroto, Fernando, et al.
Published: (2025)
ML-driven detection and reduction of ballast information in multi-modal datasets
by: Solovko, Yaroslav
Published: (2026)
by: Solovko, Yaroslav
Published: (2026)
Scattered Forest Search: Smarter Code Space Exploration with LLMs
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
A unified convergence theory for adaptive first-order methods in the nonconvex case, including AdaNorm, full and diagonal AdaGrad, Shampoo and Muo
by: Gratton, S., et al.
Published: (2026)
by: Gratton, S., et al.
Published: (2026)
Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
by: Adriaens, Jérôme, et al.
Published: (2026)
by: Adriaens, Jérôme, et al.
Published: (2026)
Graph Coloring for Multi-Task Learning
by: Patapati, Santosh
Published: (2025)
by: Patapati, Santosh
Published: (2025)
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
Conservative Decisions with Risk Scores
by: Wei, Yishu, et al.
Published: (2025)
by: Wei, Yishu, et al.
Published: (2025)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)
by: Manokhin, Valery, et al.
Published: (2026)
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
by: Zhang, Tianming, et al.
Published: (2025)
by: Zhang, Tianming, et al.
Published: (2025)
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
by: Shchur, Andrii, et al.
Published: (2026)
by: Shchur, Andrii, et al.
Published: (2026)
Non-convex cost functionals in boosting algorithms and methods for panel selection
by: Visentin, Marco
Published: (2001)
by: Visentin, Marco
Published: (2001)
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
by: Krajewska, Antonina, et al.
Published: (2024)
by: Krajewska, Antonina, et al.
Published: (2024)
Off-policy Evaluation with Deeply-abstracted States
by: Hao, Meiling, et al.
Published: (2024)
by: Hao, Meiling, et al.
Published: (2024)
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
by: Fan, Donney, et al.
Published: (2026)
by: Fan, Donney, et al.
Published: (2026)
Frequency Bias and OOD Generalization in Neural Operators under a Variable-Coefficient Wave Equation
by: Xie, Runlong, et al.
Published: (2026)
by: Xie, Runlong, et al.
Published: (2026)
Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)
by: Han, Yi
Published: (2025)
Cohomological Obstructions to Global Counterfactuals: A Sheaf-Theoretic Foundation for Generative Causal Models
by: Wu, Rui, et al.
Published: (2026)
by: Wu, Rui, et al.
Published: (2026)
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)
by: Maturo, Fabrizio, et al.
Published: (2024)
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
by: Degen, Isabella, et al.
Published: (2025)
by: Degen, Isabella, et al.
Published: (2025)
Riemannian Generative Decoder
by: Bjerregaard, Andreas, et al.
Published: (2025)
by: Bjerregaard, Andreas, et al.
Published: (2025)
Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
by: Marwitz, Florian Andreas, et al.
Published: (2025)
by: Marwitz, Florian Andreas, et al.
Published: (2025)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
Similar Items
-
Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025) -
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026) -
Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025) -
Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025) -
Functional Clustering of Discount Functions for Behavioral Investor Profiling
by: Porreca, Annamaria, et al.
Published: (2024)