Pages that link to "Item:Q4468412"

The following pages link to Model-Based Clustering, Discriminant Analysis, and Density Estimation (Q4468412):

Displaying 50 items.

• Graphical tools for model-based mixture discriminant analysis (Q2009043) (← links)
• Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions (Q2009044) (← links)
• Anomaly and novelty detection for robust semi-supervised learning (Q2029069) (← links)
• Modal clustering using semiparametric mixtures and mode flattening (Q2029082) (← links)
• Unconstrained representation of orthogonal matrices with application to common principal components (Q2032213) (← links)
• Simultaneous dimension reduction and clustering via the NMF-EM algorithm (Q2036153) (← links)
• Incorporating statistical clustering methods into mortality models to improve forecasting performances (Q2038220) (← links)
• Affine-transformation invariant clustering models (Q2040902) (← links)
• Better than the best? Answers via model ensemble in density-based clustering (Q2051575) (← links)
• A bivariate finite mixture growth model with selection (Q2051585) (← links)
• Semiautomatic robust regression clustering of international trade data (Q2062337) (← links)
• Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit (Q2074341) (← links)
• Co-clustering of time-dependent data via the shape invariant model (Q2075733) (← links)
• Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data (Q2080734) (← links)
• Parsimonious Bayesian factor analysis for modelling latent structures in spectroscopy data (Q2080755) (← links)
• Estimation of the complexity of a finite mixture distribution: from well- to less known methods (Q2081736) (← links)
• Bayesian mixture model of extended redundancy analysis (Q2088918) (← links)
• How many data clusters are in the galaxy data set? Bayesian cluster analysis in action (Q2089292) (← links)
• Gaussian mixture model with an extended ultrametric covariance structure (Q2089298) (← links)
• On comparative study of clustering using finite mixture of non-Gaussian distributions (Q2091587) (← links)
• Multivariate understanding of income and expenditure in United States households with statistical learning (Q2095740) (← links)
• A mixture model approach to spectral clustering and application to textual data (Q2111310) (← links)
• Robust clustering of multiply censored data via mixtures of \(t\) factor analyzers (Q2125473) (← links)
• On finite mixture modeling of change-point processes (Q2129299) (← links)
• MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling (Q2129308) (← links)
• Chimeral clustering (Q2129309) (← links)
• Multivariate cluster-weighted models based on seemingly unrelated linear regression (Q2129595) (← links)
• Self-semi-supervised clustering for large scale data with massive null group (Q2131891) (← links)
• A review on spectral clustering and stochastic block models (Q2132025) (← links)
• Quantitative analysis of the kinematics and induced aerodynamic loading of individual vortices in vortex-dominated flows: a computation and data-driven approach (Q2132584) (← links)
• Tensor decomposition for learning Gaussian mixtures from moments (Q2133926) (← links)
• Learning the smoothness of noisy curves with application to online curve estimation (Q2136651) (← links)
• Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns (Q2154229) (← links)
• Spectral graph clustering via the expectation-solution algorithm (Q2154947) (← links)
• Estimating parameters of mixtures of multivariate \(t\)-populations and application to classification of observations (Q2161073) (← links)
• Order preserving hierarchical agglomerative clustering (Q2163229) (← links)
• Neighborhood density information in clustering (Q2163854) (← links)
• The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology (Q2169868) (← links)
• Model selection strategies for determining the optimal number of overlapping clusters in additive overlapping partitional clustering (Q2169873) (← links)
• On assessments of agreement between fuzzy partitions (Q2169878) (← links)
• An efficient approach in rainfall prediction around Sathanur dam, India, by model based clustering, structural equation modelling (SEM) and artificial neural networks (ANN) (Q2171637) (← links)
• Extending finite mixtures of \(t\) linear mixed-effects models with concomitant covariates (Q2189590) (← links)
• Degrees of freedom and model selection for \(k\)-means clustering (Q2189599) (← links)
• Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model (Q2194483) (← links)
• Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics (Q2195280) (← links)
• Seemingly unrelated clusterwise linear regression (Q2201321) (← links)
• A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (Q2201323) (← links)
• Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes (Q2209720) (← links)
• Identifiability of nonparametric mixture models and Bayes optimal clustering (Q2215737) (← links)
• Model-free inference of diffusion networks using RKHS embeddings (Q2218337) (← links)