The following pages link to Journal of Classification (Q65457):
Displaying 50 items.
- Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm (Q263350) (← links)
- In memoriam: J. Douglas Carroll, 1939--2011 (Q263352) (← links)
- Block-relaxation approaches for fitting the INDCLUS model (Q263355) (← links)
- Lowdimensional additive overlapping clustering (Q263356) (← links)
- Recognizing treelike \(k\)-dissimilarities (Q263358) (← links)
- Mixtures of autoregressions with an improper component for panel data (Q263360) (← links)
- Local statistical modeling via a cluster-weighted approach with elliptical distributions (Q263361) (← links)
- Recent advances in predictive (machine) learning (Q265241) (← links)
- Confidence in classification: a Bayesian approach (Q265247) (← links)
- PARAMAP vs. Isomap: a comparison of two nonlinear mapping algorithms (Q265250) (← links)
- On the performance of simulated annealing for large-scale \(L_{2}\) unidimensional scaling (Q265251) (← links)
- CLUSCALE (``Clustering and multidimensional SCAL[E]ing''): a three-way hybrid model incorporating overlapping clustering and multidimensional scaling structure (Q265253) (← links)
- On similarity indices and correction for chance agreement (Q265257) (← links)
- Generation of random clusters with specified degree of separation (Q265259) (← links)
- Structural classification analysis of three-way dissimilarity data (Q265307) (← links)
- Optimization strategies for two-mode partitioning (Q265312) (← links)
- A procedure for estimating the number of clusters in logistic regression clustering (Q265316) (← links)
- Bayes discriminant rules with ordered predictors (Q265320) (← links)
- \(k\)-adic similarity coefficients for binary (presence/absence) data (Q265321) (← links)
- Constrained multilevel latent class models for the analysis of three-way three-mode binary data (Q269109) (← links)
- Model selection for the trend vector model (Q269111) (← links)
- Cluster differences unfolding for two-way two-mode preference rating data (Q269114) (← links)
- Graph partitioning by correspondence analysis and taxicab correspondence analysis (Q269116) (← links)
- Model similarity and rank-order based classification of Bayesian networks (Q269119) (← links)
- Optimal quantization of the support of a continuous multivariate distribution based on mutual information (Q269123) (← links)
- Ward's hierarchical agglomerative clustering method: which algorithms implement Ward's criterion? (Q269164) (← links)
- Functional PCA and base-line logit models (Q269168) (← links)
- Robust functional supervised classification for time series (Q269171) (← links)
- An optimal algorithm to recognize Robinsonian dissimilarities (Q269174) (← links)
- Classification of asymmetric proximity data (Q269175) (← links)
- Editorial: Special issue ``Classification in educational testing'' (Q269204) (← links)
- The development of computerized adaptive testing with cognitive diagnosis for an English achievement test in China (Q269210) (← links)
- Using neural network analysis to define methods of DINA model estimation for small sample sizes (Q269214) (← links)
- Incorporating student covariates in cognitive diagnosis models (Q269217) (← links)
- A nonparametric approach to cognitive diagnosis by proximity to ideal response patterns (Q269220) (← links)
- Measuring the reliability of diagnostic classification model examinee estimates (Q269222) (← links)
- Multidimensional item response theory models with collateral information as Poisson regression models (Q269224) (← links)
- Model-based clustering for conditionally correlated categorical data (Q269537) (← links)
- Kernel-based methods to identify overlapping clusters with linear and nonlinear boundaries (Q269541) (← links)
- Point clustering via voting maximization (Q269543) (← links)
- TOBAE: a density-based agglomerative clustering algorithm (Q269546) (← links)
- On the added value of bootstrap analysis for \(K\)-means clustering (Q269548) (← links)
- DESPOTA: dendrogram slicing through a pemutation test approach (Q269551) (← links)
- Classification using the Zipfian kernel (Q269554) (← links)
- Erratum to: The Generalized Linear Mixed Cluster-Weighted Model (Q269555) (← links)
- Hierarchical clustering via joint between-within distances: extending Ward's minimum variance method (Q286605) (← links)
- A proposal for robust curve clustering (Q286606) (← links)
- Clustering univariate observations via mixtures of unimodal normal mixtures (Q286607) (← links)
- OCLUS: an analytic method for generating clusters with known overlap (Q286608) (← links)
- Rotation in correspondence analysis (Q286610) (← links)
