The following pages link to Journal of Classification (Q65457):
Displaying 50 items.
- The median procedure for n-trees (Q1822174) (← links)
- s-consensus index method: An additional axiom (Q1822175) (← links)
- On lattice consensus methods (Q1822176) (← links)
- The majorization approach to multidimensional scaling for Minkowski distances (Q1901392) (← links)
- A mixture likelihood approach for generalized linear models (Q1901393) (← links)
- Comparing resemblance measures (Q1901395) (← links)
- An algorithm to find agreement subtrees (Q1901396) (← links)
- An efficient algorithm for supertrees (Q1901397) (← links)
- Weighting and selection of variables for cluster analysis (Q1901398) (← links)
- The Kohonen self-organizing map method: An assessment (Q1907939) (← links)
- Three-way distances (Q1907942) (← links)
- Minimum spanning trees for tree metrics: Abridgements and adjustments (Q1907943) (← links)
- Additive two-mode clustering: The error-variance approach revisited (Q1907944) (← links)
- A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees (Q1907945) (← links)
- An algorithm for the fitting of a tree metric according to a weighted least-squares criterion (Q1962704) (← links)
- One-mode classification of a three-way data matrix (Q1962705) (← links)
- Developing criteria for measuring space distortion in combinatorial cluster analysis and methods for controlling the distortion (Q1962706) (← links)
- Reference point logistic classification (Q1962707) (← links)
- Morph-based local-search heuristics for large-scale combinatorial data analysis (Q1963866) (← links)
- Nonmetric linear biplots (Q1963868) (← links)
- Shape statistics: Procrustes superimpositions and tangent spaces (Q1963869) (← links)
- Global optimization in least-squares multidimensional scaling by distance smoothing (Q1963870) (← links)
- An extraction and regularization approach to additive clustering (Q1963871) (← links)
- Fitting a mixture model to three-mode three-way data with categorical and continuous variables (Q1963872) (← links)
- MCLUST: Software for model-based cluster analysis (Q1963873) (← links)
- A membership probability-based undersampling algorithm for imbalanced data (Q2038205) (← links)
- A new performance evaluation metric for classifiers: polygon area metric (Q2038207) (← links)
- Modified subspace constrained mean shift algorithm (Q2038208) (← links)
- Spherical classification of data, a new rule-based learning method (Q2038210) (← links)
- Consumer segmentation based on use patterns (Q2038211) (← links)
- A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (Q2038212) (← links)
- Adjusted concordance index: an extensionl of the adjusted rand index to fuzzy partitions (Q2040029) (← links)
- Gaussian-based visualization of Gaussian and non-Gaussian-based clustering (Q2040030) (← links)
- Comparing high-dimensional partitions with the Co-clustering adjusted rand index (Q2040033) (← links)
- In memoriam: Richard C. Dubes (Q2075713) (← links)
- Clustering brain signals: a robust approach using functional data ranking (Q2075715) (← links)
- Wavelet multidimensional scaling analysis of European economic sentiment indicators (Q2075717) (← links)
- Polarized classification tree models: theory and computational aspects (Q2075720) (← links)
- A unified theory of the completeness of Q-matrices for the DINA model (Q2075722) (← links)
- A comparison of reliability coefficients for ordinal rating scales (Q2075724) (← links)
- A model-free subject selection method for active learning classification procedures (Q2075726) (← links)
- Matrix normal cluster-weighted models (Q2075727) (← links)
- On Bayesian analysis of parsimonious Gaussian mixture models (Q2075730) (← links)
- Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models (Q2075731) (← links)
- Co-clustering of time-dependent data via the shape invariant model (Q2075733) (← links)
- On finite mixture modeling of change-point processes (Q2129299) (← links)
- Erratum to: ``On finite mixture modeling of change-point processes'' (Q2129300) (← links)
- A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models (Q2129301) (← links)
- Partition of interval-valued observations using regression (Q2129302) (← links)
- Comparing boosting and bagging for decision trees of rankings (Q2129304) (← links)
