Pages that link to "Item:Q1963873"
From MaRDI portal
The following pages link to MCLUST: Software for model-based cluster analysis (Q1963873):
Displaying 50 items.
- mclust (Q13318) (← links)
- Simultaneous model-based clustering and visualization in the Fisher discriminative subspace (Q134334) (← links)
- The discriminative functional mixture model for a comparative analysis of bike sharing systems (Q262344) (← links)
- Dimensionally reduced model-based clustering through mixtures of factor mixture analyzers (Q286628) (← links)
- A limit theorem for scaled eigenvectors of random dot product graphs (Q288255) (← links)
- Detecting clusters in the data from variance decompositions of its projections (Q288848) (← links)
- Dimension reduction for model-based clustering via mixtures of multivariate \(t\)-distributions (Q369352) (← links)
- Model-based multidimensional clustering of categorical data (Q420818) (← links)
- Model-based classification via mixtures of multivariate \(t\)-distributions (Q452623) (← links)
- Statistical models and computational algorithms for discovering relationships in microbiome data (Q523934) (← links)
- Finite mixtures of matrix normal distributions for classifying three-way data (Q637984) (← links)
- Determining the number of clusters in cluster analysis (Q640693) (← links)
- On Bayesian ``central clustering'': application to landscape classification of Western Ghats (Q652362) (← links)
- Model-based evaluation of clustering validation measures (Q856438) (← links)
- Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models (Q892462) (← links)
- Hidden Markov models with mixtures as emission distributions (Q892798) (← links)
- Vertex nomination schemes for membership prediction (Q902928) (← links)
- On the minimization of concave information functionals for unsupervised classification via decision trees (Q928967) (← links)
- Automatic clustering and boundary detection algorithm based on adaptive influence function (Q937419) (← links)
- Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator (Q956805) (← links)
- Latent class models for mixed variables with applications in archaeometry (Q957143) (← links)
- A two-stage empirical Bayes method for identifying differentially expressed genes (Q959437) (← links)
- Penalized factor mixture analysis for variable selection in clustered data (Q961929) (← links)
- Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications (Q977645) (← links)
- Model-based clustering for longitudinal data (Q1023471) (← links)
- Model-based clustering of high-dimensional data: a review (Q1621282) (← links)
- Mixtures of skew-\(t\) factor analyzers (Q1623604) (← links)
- Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (Q1659365) (← links)
- Clustering with the multivariate normal inverse Gaussian distribution (Q1660185) (← links)
- Improved model-based clustering performance using Bayesian initialization averaging (Q1729337) (← links)
- Limit theorems for eigenvectors of the normalized Laplacian for random graphs (Q1800805) (← links)
- Computational aspects of fitting mixture models via the expectation-maximization algorithm (Q1927163) (← links)
- Determining distinct clusters in gene expression data using similarity in principal component subspaces (Q1933017) (← links)
- Estimating the number of components in finite mixture models via the group-sort-fuse procedure (Q2073694) (← links)
- Gaussian mixture model with an extended ultrametric covariance structure (Q2089298) (← links)
- Determine the number of clusters by data augmentation (Q2161184) (← links)
- Vertex nomination, consistent estimation, and adversarial modification (Q2199707) (← links)
- Outlier identification in model-based cluster analysis (Q2353146) (← links)
- Testing over-representation of observations in subsets of a DEA technology (Q2355920) (← links)
- Better alternatives to current methods of scaling and weighting data for cluster analysis (Q2382873) (← links)
- Probabilistic clustering via Pareto solutions and significance tests (Q2418354) (← links)
- Model-based clustering (Q2628064) (← links)
- Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions (Q2637382) (← links)
- Random effects mixture models for clustering electrical load series (Q3103200) (← links)
- A Permutation Based Procedure for Classification Assessment (Q3167850) (← links)
- Model Selection in High Dimensions: A Quadratic-Risk-Based Approach (Q3631446) (← links)
- Statistical inference on random dot product graphs: a survey (Q4558565) (← links)
- Initializing the EM Algorithm for Univariate Gaussian, Multi-Component, Heteroscedastic Mixture Models by Dynamic Programming Partitions (Q4563129) (← links)
- Using Unlabelled Data to Update Classification Rules with Applications in Food Authenticity Studies (Q5757808) (← links)
- Subgraph nomination: query by example subgraph retrieval in networks (Q6171795) (← links)
