Pages that link to "Item:Q65481"
From MaRDI portal
The following pages link to Estimating the number of clusters in a data set via the gap statistic (Q65481):
Displaying 50 items.
- The cluster correlation-network support vector machine for high-dimensional binary classification (Q5107375) (← links)
- A change-point detection and clustering method in the recurrent-event context (Q5107766) (← links)
- (Q5110170) (← links)
- Shrinkage Clustering: A Fast and Size-Constrained Algorithm for Biomedical Applications (Q5111805) (← links)
- (Q5149011) (← links)
- Clustering with statistical error control (Q5152167) (← links)
- Unsupervised modelling of a transitional boundary layer (Q5158482) (← links)
- Dynamic Tensor Clustering (Q5208093) (← links)
- Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics (Q5214396) (← links)
- Reducing data dimension for cluster detection (Q5218933) (← links)
- Bootstrap method to evaluate tightness of clusters with application to the Korean standard occlusion study (Q5219234) (← links)
- Exhaustive<i>k</i>-nearest-neighbour subspace clustering (Q5220700) (← links)
- On the strengths of the self-updating process clustering algorithm (Q5222391) (← links)
- Cluster-based feedback control of turbulent post-stall separated flows (Q5231442) (← links)
- Clustering Effects in Unreplicated Factorial Experiments (Q5299938) (← links)
- Spontaneous Clustering via Minimum Gamma-Divergence (Q5378327) (← links)
- A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator (Q5383797) (← links)
- A graph-based estimator of the number of clusters (Q5429604) (← links)
- (Q5444785) (← links)
- Determining the Number of Clusters Using the Weighted Gap Statistic (Q5449900) (← links)
- Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering (Q5880619) (← links)
- Segmentation uncertainty in multiple change-point models (Q5962741) (← links)
- Nonparametric cluster significance testing with reference to a unimodal null distribution (Q6055473) (← links)
- Hierarchical clustering and matrix completion for the reconstruction of world input-output tables (Q6065677) (← links)
- A Unified Framework for Change Point Detection in High-Dimensional Linear Models (Q6069892) (← links)
- Time series analysis and prediction of nonlinear systems with ensemble learning framework applied to deep learning neural networks (Q6071280) (← links)
- Semiparametric partial common principal component analysis for covariance matrices (Q6079248) (← links)
- Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis (Q6079473) (← links)
- Distance Metrics and Clustering Methods for Mixed‐type Data (Q6086608) (← links)
- Ensemble clustering for step data via binning (Q6094211) (← links)
- Heuristics for a cash-collection routing problem with a cluster-first route-second approach (Q6099456) (← links)
- Alpha geodesic distances for clustering of shapes (Q6110417) (← links)
- A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724) (← links)
- Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system (Q6127038) (← links)
- A testing approach to clustering scalar time series (Q6135376) (← links)
- Zero-inflated time series clustering via ensemble thick-pen transform (Q6138127) (← links)
- Incomplete clustering analysis via multiple imputation (Q6164647) (← links)
- Semidefinite programming based community detection for node-attributed networks and multiplex networks (Q6171278) (← links)
- Testing for Unobserved Heterogeneity via <i>k-means</i> Clustering (Q6190687) (← links)
- Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models (Q6190753) (← links)
- Clustering dimensionless learning for multiple-physical-regime systems (Q6194199) (← links)
- On efficient model selection for sparse hard and fuzzy center-based clustering algorithms (Q6199485) (← links)
- Semiparametric discriminant analysis for mixture populations (Q6537827) (← links)
- Merging \(K\)-means with hierarchical clustering for identifying general-shaped groups (Q6541443) (← links)
- A Bayesian non-parametric approach for automatic clustering with feature weighting (Q6541606) (← links)
- Paralinear distance and its algorithm for hierarchical clustering of high-dimensional discrete variables (Q6548456) (← links)
- Fast and robust clustering of general-shaped structures with tk-merge (Q6548468) (← links)
- Similarity-based clustering for patterns of extreme values (Q6548801) (← links)
- Investigation of the effect of bars on the properties of spiral galaxies: a multivariate statistical study (Q6558494) (← links)
- Heterogeneous quantile regression for longitudinal data with subgroup structures (Q6561264) (← links)