Pages that link to "Item:Q4468412"

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

Displaying 50 items.

• Mixture of latent trait analyzers for model-based clustering of categorical data (Q892805) (← links)
• Assessing the performance of model-based clustering methods in multivariate time series with application to identifying regional wind regimes (Q893352) (← links)
• Strategic sophistication and attention in games: an eye-tracking study (Q894612) (← links)
• Cluster analysis, model selection, and prior distributions on models (Q899044) (← links)
• Bayesian clustering of shapes of curves (Q899551) (← links)
• On biological validity indices for soft clustering algorithms for gene expression data (Q901585) (← links)
• The EM algorithm and the rise of computational biology (Q906519) (← links)
• The local Dirichlet process (Q907085) (← links)
• Inference and modeling with log-concave distributions (Q907958) (← links)
• Automatic clustering and boundary detection algorithm based on adaptive influence function (Q937419) (← links)
• Scale-invariant clustering with minimum volume ellipsoids (Q941528) (← links)
• Mixtures of distance-based models for ranking data (Q951838) (← links)
• Distance-based parametric bootstrap tests for clustering of species ranges (Q956894) (← links)
• Clustering confidence sets (Q958762) (← links)
• Simultaneous curve registration and clustering for functional data (Q961281) (← links)
• Penalized factor mixture analysis for variable selection in clustered data (Q961929) (← links)
• Using combinatorial optimization in model-based trimmed clustering with cardinality constraints (Q962299) (← links)
• On voting-based consensus of cluster ensembles (Q962785) (← links)
• Sparse Bayesian hierarchical modeling of high-dimensional clustering problems (Q972898) (← links)
• Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications (Q977645) (← links)
• Exact and Monte Carlo calculations of integrated likelihoods for the latent class model (Q988928) (← links)
• On adjusted Viterbi training (Q996733) (← links)
• The adjusted Viterbi training for hidden Markov models (Q1002581) (← links)
• Optimal classification for time-course gene expression data using functional data analysis (Q1004958) (← links)
• Extending fuzzy and probabilistic clustering to very large data sets (Q1010358) (← links)
• A toolbox for \(K\)-centroids cluster analysis (Q1010387) (← links)
• Interpretation and inference in mixture models: simple MCMC works (Q1019984) (← links)
• Bayesian nearest-neighbor analysis via record value statistics and nonhomogeneous spatial Poisson processes (Q1020105) (← links)
• Imputation through finite Gaussian mixture models (Q1020207) (← links)
• Constrained monotone EM algorithms for finite mixture of multivariate Gaussians (Q1020213) (← links)
• A quick procedure for model selection in the case of mixture of normal densities (Q1020660) (← links)
• Line and point cluster models for spatial health data (Q1020706) (← links)
• Clustering data with measurement errors (Q1020711) (← links)
• Use of SVD-based probit transformation in clustering gene expression profiles (Q1020741) (← links)
• CLUES: a non-parametric clustering method based on local shrinking (Q1020816) (← links)
• Gaussian mixture model classification: a projection pursuit approach (Q1020834) (← links)
• High-dimensional data clustering (Q1020836) (← links)
• Model-based methods to identify multiple cluster structures in a data set (Q1020837) (← links)
• Model-based clustering for longitudinal data (Q1023471) (← links)
• Independent factor discriminant analysis (Q1023662) (← links)
• Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220) (← links)
• Discriminant analysis and clustering. Panel on discriminant analysis, classification, and clustering (Q1595994) (← links)
• Statistical inference for simultaneous clustering of gene expression data (Q1602591) (← links)
• Partially observed functional data: the case of systematically missing parts (Q1615267) (← links)
• A probabilistic model of cell size reduction in \textit{Pseudo-nitzschia delicatissima} (Bacillariophyta) (Q1620825) (← links)
• Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering (Q1621035) (← links)
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
• Model-based clustering of high-dimensional data: a review (Q1621282) (← links)
• A multivariate linear regression analysis using finite mixtures of \(t\) distributions (Q1621290) (← links)
• Learning from incomplete data via parameterized \(t\) mixture models through eigenvalue decomposition (Q1621293) (← links)