Pages that link to "Item:Q453014"
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The following pages link to Model-based clustering, classification, and discriminant analysis of data with mixed type (Q453014):
Displaying 36 items.
- Mixture model clustering for mixed data with missing information (Q80640) (← links)
- A semiparametric method for clustering mixed data (Q139715) (← links)
- Decision boundaries for mixtures of regressions (Q287417) (← links)
- Clustering bivariate mixed-type data via the cluster-weighted model (Q311304) (← links)
- Model-based clustering using copulas with applications (Q340862) (← links)
- Clustering South African households based on their asset status using latent variable models (Q400600) (← links)
- Nonparametric estimation of a latent variable model (Q730430) (← links)
- Density-based clustering with non-continuous data (Q736661) (← links)
- Mixture of latent trait analyzers for model-based clustering of categorical data (Q892805) (← links)
- Model-based cluster and discriminant analysis with the MIXMOD software (Q1010395) (← links)
- Parsimonious skew mixture models for model-based clustering and classification (Q1621294) (← links)
- Variable assessment in latent class models (Q1623587) (← links)
- Mixture models for mixed-type data through a composite likelihood approach (Q1658421) (← links)
- Model based clustering of high-dimensional binary data (Q1663311) (← links)
- Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies (Q1698838) (← links)
- A latent variables approach for clustering mixed binary and continuous variables within a Gaussian mixture model (Q1761311) (← links)
- Model-based mixture discriminant analysis -- an experimental study (Q1765592) (← links)
- Clustering and classification via cluster-weighted factor analyzers (Q1947045) (← links)
- Model-based approach for household clustering with mixed scale variables (Q1999461) (← links)
- Graphical tools for model-based mixture discriminant analysis (Q2009043) (← links)
- A mixture of generalized latent variable models for mixed mode and heterogeneous data (Q2275642) (← links)
- Model-based co-clustering for mixed type data (Q2291302) (← links)
- Finite mixture biclustering of discrete type multivariate data (Q2418086) (← links)
- Model based clustering for mixed data: clustMD (Q2418263) (← links)
- Exponential family mixed membership models for soft clustering of multivariate data (Q2418280) (← links)
- General location model with factor analyzer covariance matrix structure and its applications (Q2418329) (← links)
- Model-based clustering (Q2628064) (← links)
- Mixture models for ordinal data: a pairwise likelihood approach (Q2631383) (← links)
- Fuzzy clustering of mixed data (Q2656761) (← links)
- An Overview on the URV Model-Based Approach to Cluster Mixed-Type Data (Q3296443) (← links)
- Classification method for mixed sampling data based on dictionary learning (Q3306700) (← links)
- Mixtures of general location model with factor analyzer covariance structure for clustering mixed type data (Q5034170) (← links)
- Kernel discriminant analysis and clustering with parsimonious Gaussian process models (Q5963817) (← links)
- Distance Metrics and Clustering Methods for Mixed‐type Data (Q6086608) (← links)
- Distance-based clustering of mixed data (Q6600365) (← links)
- Model-based clustering for spatiotemporal data on air quality monitoring (Q6625846) (← links)