Pages that link to "Item:Q65481"

The following pages link to Estimating the number of clusters in a data set via the gap statistic (Q65481):

Displaying 50 items.

• A review on spectral clustering and stochastic block models (Q2132025) (← links)
• KM-MIC: an improved maximum information coefficient based on K-medoids clustering (Q2137340) (← links)
• Some clustering-based exact distribution-free \(k\)-sample tests applicable to high dimension, low sample size data (Q2140846) (← links)
• Determine the number of clusters by data augmentation (Q2161184) (← links)
• Model selection strategies for determining the optimal number of overlapping clusters in additive overlapping partitional clustering (Q2169873) (← links)
• Finding groups in structural equation modeling through the partial least squares algorithm (Q2181549) (← links)
• Pseudo-quantile functional data clustering (Q2181734) (← links)
• Degrees of freedom and model selection for \(k\)-means clustering (Q2189599) (← links)
• On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising (Q2196192) (← links)
• A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing (Q2214256) (← links)
• Effects of resampling in determining the number of clusters in a data set (Q2220684) (← links)
• Estimating the number of clusters via a corrected clustering instability (Q2228237) (← links)
• Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery (Q2233190) (← links)
• Markov-switching state space models for uncovering musical interpretation (Q2247457) (← links)
• Discriminative variable selection for clustering with the sparse Fisher-EM algorithm (Q2259731) (← links)
• Yield and price forecasting for stochastic crop decision planning (Q2260168) (← links)
• \(K\)-means cloning: adaptive spherical \(K\)-means clustering (Q2283822) (← links)
• Deformation analysis in tunnels through curve clustering (Q2290030) (← links)
• A fast multiobjective fuzzy clustering with multimeasures combination (Q2298352) (← links)
• Robust and sparse \(k\)-means clustering for high-dimensional data (Q2303055) (← links)
• Convex clustering for binary data (Q2303059) (← links)
• Multiscale clustering for functional data (Q2304079) (← links)
• Note: \(t\) for two (clusters) (Q2304084) (← links)
• Coherence-based time series clustering for statistical inference and visualization of brain connectivity (Q2318670) (← links)
• Optimal string clustering based on a Laplace-like mixture and EM algorithm on a set of strings (Q2323348) (← links)
• Clustering time series by linear dependency (Q2329790) (← links)
• IntraClusTSP -- an incremental intra-cluster refinement heuristic algorithm for symmetric travelling salesman problem (Q2337843) (← links)
• Tests for statistical significance of a treatment effect in the presence of hidden sub-populations (Q2353370) (← links)
• Tensor factorisation for narrowband single channel source decomposition (Q2356849) (← links)
• Overlapping radial basis function interpolants for spectrally accurate approximation of functions of eigenvalues with application to buckling of composite plates (Q2364220) (← links)
• Bayesian nonparametric clustering and association studies for candidate SNP observations (Q2374506) (← links)
• Self-learning \(K\)-means clustering: a global optimization approach (Q2392762) (← links)
• Dimension-reduced clustering of functional data via subspace separation (Q2403303) (← links)
• Clustering of time series using quantile autocovariances (Q2418275) (← links)
• A statistical model of cluster stability (Q2427347) (← links)
• Trimming algorithms for clustering contaminated grouped data and their robustness (Q2442773) (← links)
• Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages (Q2445577) (← links)
• \(\gamma\)-SUP: a clustering algorithm for cryo-electron microscopy images of asymmetric particles (Q2453670) (← links)
• A sequential clustering algorithm with applications to gene expression data (Q2510646) (← links)
• Validating clusters with the lower bound for sum-of-squares error (Q2517864) (← links)
• Model-based hierarchical clustering with Bregman divergences and Fishers mixture model: application to depth image analysis (Q2628888) (← links)
• A new internal index based on density core for clustering validation (Q2656786) (← links)
• Agglomerative and divisive hierarchical Bayesian clustering (Q2674524) (← links)
• Estimating number of clusters based on a general similarity matrix with application to microarray data (Q2863987) (← links)
• Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (Q2927635) (← links)
• Determining the Number of Clusters Using Multivariate Ranks (Q2963606) (← links)
• A Clustering Method for Categorical Ordinal Data (Q3006267) (← links)
• Characterizing the Relationship Between HIV-1 Genotype and Phenotype: Prediction-Based Classification (Q3078915) (← links)
• Model-based linear clustering (Q3086523) (← links)
• On Application of a Probabilistic<i>K</i>-Nearest Neighbors Model for Cluster Validation Problem (Q3098934) (← links)