Pyramidal Clustering Algorithms in ISO-3D Project
Fuente:
arXiv
Saved in:
| Main Authors: | Rodriguez, Oldemar, Diday, Edwin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multidimensional Scaling for Interval Data: INTERSCAL
by: Winsberg, Susanne, et al.
Published: (2024)
by: Winsberg, Susanne, et al.
Published: (2024)
Correspondence Analysis for Symbolic Multi--Valued Variables
by: Rodriguez, Oldemar
Published: (2024)
by: Rodriguez, Oldemar
Published: (2024)
Shrinkage linear regression for symbolic interval-valued variables
by: Rodriguez, Oldemar
Published: (2024)
by: Rodriguez, Oldemar
Published: (2024)
Symbolic principal plane with Duality Centers Method
by: Rodriguez, Oldemar
Published: (2024)
by: Rodriguez, Oldemar
Published: (2024)
INTERSTATIS: The STATIS method for interval valued data
by: Rodriguez, Oldemar, et al.
Published: (2024)
by: Rodriguez, Oldemar, et al.
Published: (2024)
Riemannian Statistics for Any Type of Data
by: Rojas, Oldemar Rodriguez
Published: (2024)
by: Rojas, Oldemar Rodriguez
Published: (2024)
an introduction to symbolic data analysis and its application to the sodas project
by: Edwin Diday
Published: (2000)
by: Edwin Diday
Published: (2000)
Model-Based Clustering of Functional Data Via Random Projection Ensembles
by: Mori, Matteo, et al.
Published: (2025)
by: Mori, Matteo, et al.
Published: (2025)
Two-stage Ensemble Clustering of Functional Data Using Random Projections
by: Chakrabarty, Sourav, et al.
Published: (2026)
by: Chakrabarty, Sourav, et al.
Published: (2026)
Blurring Mean Shift for Clustering Functional Data: A Scalable Algorithm and Convergence Analysis
by: Morimoto, Toshinari, et al.
Published: (2025)
by: Morimoto, Toshinari, 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)
Clustering the Nearest Neighbor Gaussian Process
by: Crisp, Ashlynn, et al.
Published: (2025)
by: Crisp, Ashlynn, et al.
Published: (2025)
Model-based Clustering of Multi-Dimensional Zero-Inflated Counts via the EM Algorithm
by: AghahosseinaliShirazi, Zahra, et al.
Published: (2024)
by: AghahosseinaliShirazi, Zahra, et al.
Published: (2024)
Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes
by: Tu, Shengxin, et al.
Published: (2025)
by: Tu, Shengxin, et al.
Published: (2025)
Inference for Clustering: Conformal Sets for Cluster Labels
by: Hur, YoonHaeng, et al.
Published: (2026)
by: Hur, YoonHaeng, et al.
Published: (2026)
Evaluating Informative Cluster Size in Cluster Randomized Trials
by: Blette, Bryan S., et al.
Published: (2025)
by: Blette, Bryan S., et al.
Published: (2025)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
Model-based Clustering
by: Grün, Bettina
Published: (2018)
by: Grün, Bettina
Published: (2018)
Cluster-Randomized Trials with Cross-Cluster Interference
by: Leung, Michael P.
Published: (2023)
by: Leung, Michael P.
Published: (2023)
Projection matrices and the sweep operator
by: James, A. T., et al.
Published: (2024)
by: James, A. T., et al.
Published: (2024)
Modal Clustering for Categorical Data
by: Corsini, Noemi, et al.
Published: (2025)
by: Corsini, Noemi, et al.
Published: (2025)
Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)
by: Xu, Yixi, et al.
Published: (2025)
Clustering Tails in High Dimension
by: Chen, Liujun, et al.
Published: (2025)
by: Chen, Liujun, et al.
Published: (2025)
Bayesian Clustering Factor Models
by: Shin, Hwasoo, et al.
Published: (2025)
by: Shin, Hwasoo, et al.
Published: (2025)
Uncertainty Quantification in Bayesian Clustering
by: Page, Garritt L., et al.
Published: (2025)
by: Page, Garritt L., et al.
Published: (2025)
Projected Bayesian Spatial Factor Models
by: Zhang, Lu
Published: (2025)
by: Zhang, Lu
Published: (2025)
Posterior Projection for Inference in Constrained Spaces
by: Astfalck, Lachlan, et al.
Published: (2018)
by: Astfalck, Lachlan, et al.
Published: (2018)
Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)
by: Bugni, Federico, et al.
Published: (2022)
On Robust Clustering of Temporal Point Process
by: Zhang, Yuecheng, et al.
Published: (2024)
by: Zhang, Yuecheng, et al.
Published: (2024)
Bayesian Dynamic Clustering Factor Models
by: Dolkar, Tsering, et al.
Published: (2025)
by: Dolkar, Tsering, et al.
Published: (2025)
Flexible Variable Selection for Clustering and Classification
by: Neal, Mackenzie R., et al.
Published: (2023)
by: Neal, Mackenzie R., et al.
Published: (2023)
Clustering-based aggregate value regression
by: Hirose, Kei, et al.
Published: (2025)
by: Hirose, Kei, et al.
Published: (2025)
Predictor-Informed Bayesian Nonparametric Clustering
by: Parh, Md Yasin Ali, et al.
Published: (2025)
by: Parh, Md Yasin Ali, et al.
Published: (2025)
Spectral Clustering on Multilayer Networks with Covariates
by: Zhao, Da, et al.
Published: (2025)
by: Zhao, Da, et al.
Published: (2025)
Regularized Sparse Optimal Discriminant Clustering
by: Hiraishi, Mayu, et al.
Published: (2025)
by: Hiraishi, Mayu, et al.
Published: (2025)
Clustering Craters on the Moon with Dysfunctional Families
by: Weed, Nathan, et al.
Published: (2026)
by: Weed, Nathan, et al.
Published: (2026)
Rank Intraclass Correlation for Clustered Data
by: Tu, Shengxin, et al.
Published: (2023)
by: Tu, Shengxin, et al.
Published: (2023)
Relaxation of Projected Prior with Continuous Gap Shrinkage
by: Duan, Leo L, et al.
Published: (2026)
by: Duan, Leo L, et al.
Published: (2026)
Nonparametric Causal Survival Analysis with Clustered Interference
by: Lee, Chanhwa, et al.
Published: (2024)
by: Lee, Chanhwa, et al.
Published: (2024)
Wasserstein $k$-Centers Clustering for Distributional Data
by: Okano, Ryo, et al.
Published: (2024)
by: Okano, Ryo, et al.
Published: (2024)
Similar Items
-
Multidimensional Scaling for Interval Data: INTERSCAL
by: Winsberg, Susanne, et al.
Published: (2024) -
Correspondence Analysis for Symbolic Multi--Valued Variables
by: Rodriguez, Oldemar
Published: (2024) -
Shrinkage linear regression for symbolic interval-valued variables
by: Rodriguez, Oldemar
Published: (2024) -
Symbolic principal plane with Duality Centers Method
by: Rodriguez, Oldemar
Published: (2024) -
INTERSTATIS: The STATIS method for interval valued data
by: Rodriguez, Oldemar, et al.
Published: (2024)