DOI10.1111/j.1467-9868.2004.02059.xzbMath1060.62064OpenAlexW2094909687MaRDI QIDQ4670795
Jacqueline J. Meulman, Jerome H. Friedman
Publication date: 22 April 2005
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9868.2004.02059.x
Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance,
Sparse optimal discriminant clustering,
Fuzzy clustering with spatial correction and its application to geometallurgical domaining,
A Distance-Preserving Matrix Sketch,
Cluster Data Streams with Noisy Variables,
Fuzzy clustering in parallel universes,
Variable Selection for Clustering with Gaussian Mixture Models,
Sparse Bayesian multinomial probit regression model with correlation prior for high-dimensional data classification,
Inducing a blockmodel structure of two-mode binary data using seriation procedures,
A mixed integer linear model for clustering with variable selection,
Identification of relevant subtypes via preweighted sparse clustering,
A simple approach to sparse clustering,
Enhanced soft subspace clustering integrating within-cluster and between-cluster information,
Batch self-organizing maps for distributional data with an automatic weighting of variables and components,
Distance metric learning for soft subspace clustering in composite kernel space,
Co-clustering algorithms for distributional data with automated variable weighting,
RP-LGMC: rating prediction based on local and global information with matrix clustering,
Modal clustering on PPGMMGA projection subspace,
FuBiNFS -- fuzzy biclustering neuro-fuzzy system,
Feature interaction in subspace clustering using the Choquet integral,
Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data,
Biconvex Clustering,
rCOSA: a software package for clustering objects on subsets of attributes,
Penalized model-based clustering,
Detecting communities in attributed networks through bi-direction penalized clustering and its application,
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data,
Finding cluster centers and sizes via multinomial parameterization,
Modelling the role of variables in model-based cluster analysis,
Variable Selection in Penalized Model‐Based Clustering Via Regularization on Grouped Parameters,
Statistical analysis of C‐DNA microarray data for sample clustering and gene identification,
Estimating and clustering curves in the presence of heteroscedastic errors,
Enhanced soft subspace clustering through hybrid dissimilarity,
Semi-supervised projected model-based clustering,
Optimization-based model fitting for latent class and latent profile analyses,
Robust classification with categorical variables,
Spike-and-slab Lasso biclustering,
Comparison between two coevolutionary feature weighting algorithms in clustering,
A Clustering Method for Categorical Ordinal Data,
Selection of variables in cluster analysis: An empirical comparison of eight procedures,
Variable selection methods for model-based clustering,
A survey on soft subspace clustering,
A novel framework for joint sparse clustering and alignment of functional data,
Sparse clustering of functional data,
Prediction and classification in nonlinear data analysis: something old, something new, something borrowed, something blue,
Bayesian variable selection in clustering high-dimensional data with substructure,
Sparse Bayesian hierarchical modeling of high-dimensional clustering problems,
Integrative model-based clustering of microarray methylation and expression data,
Finding large average submatrices in high dimensional data,
A novel attribute weighting algorithm for clustering high-dimensional categorical data,
Quantile-based clustering,
Fitting Statistical Distributions to Data in Hurricane Modeling,
Pairwise Variable Selection for High-Dimensional Model-Based Clustering,
Bayesian multinomial regression with class-specific predictor selection,
Variable selection for model-based clustering using the integrated complete-data likelihood,
A feature group weighting method for subspace clustering of high-dimensional data,
A semiparametric method for clustering mixed data,
Dealing with label switching in mixture models under genuine multimodality,
Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic,
Feature screening in large scale cluster analysis,
Threshold-based clustering with merging and regularization in application to network intrusion detection,
Subset Clustering of Binary Sequences, with an Application to Genomic Abnormality Data,
MANOVA, LDA, and FA criteria in clusters parameter estimation,
On two‐way Bayesian agglomerative clustering of gene expression data,
Finite mixture models for clustering multilevel data with multiple cluster structures,
The \(\delta \)-machine: classification based on distances towards prototypes,
Model-based methods to identify multiple cluster structures in a data set,
Bayesian variable selection in clustering high-dimensional data via a mixture of finite mixtures,
Clustering Categorical Data via Ensembling Dissimilarity Matrices,
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm,
A New Approach to Cluster Analysis: the Clustering-Function-Based Method,
Coupled block diagonal regularization for multi-view subspace clustering