Pages that link to "Item:Q105416"

The following pages link to Algorithm AS 136: A K-Means Clustering Algorithm (Q105416):

Displaying 50 items.

• An indication of unification for different clustering approaches (Q888555) (← links)
• Optimal estimators of principal points for minimizing expected mean squared distance (Q897631) (← links)
• Recovery guarantees for exemplar-based clustering (Q897656) (← links)
• Bayesian multiscale smoothing of Gaussian noised images (Q899051) (← links)
• Probabilistic-statistical programs from ``Applied Statistics'' (Q918058) (← links)
• Optimal partitioning of a data set based on the \(p\)-median model (Q946677) (← links)
• Optimising \(k\)-means clustering results with standard software packages (Q957269) (← links)
• Linear grouping using orthogonal regression (Q959227) (← links)
• Partition clustering of high dimensional low sample size data based on \(p\)-values (Q961889) (← links)
• GAP: a graphical environment for matrix visualization and cluster analysis (Q962314) (← links)
• Cooperative clustering (Q962822) (← links)
• An incremental nested partition method for data clustering (Q969084) (← links)
• Identification of surgical practice patterns using evolutionary cluster analysis (Q969939) (← links)
• Algorithms for clustering clickstream data (Q976126) (← links)
• Validating vehicle routing zone construction using Monte Carlo simulation (Q976400) (← links)
• Enhancing principal direction divisive clustering (Q991947) (← links)
• A hybrid macroscopic-based model for traffic flow in road networks (Q992665) (← links)
• Multiphase image segmentation and modulation recovery based on shape and topological sensitivity (Q993539) (← links)
• Iterative sliced inverse regression for segmentation of ultrasound and MR images (Q996432) (← links)
• A constrained \(k\)-means clustering algorithm for classifying spatial units (Q998906) (← links)
• PK-means: A new algorithm for gene clustering (Q1004916) (← links)
• A toolbox for \(K\)-centroids cluster analysis (Q1010387) (← links)
• K-hyperline clustering learning for sparse component analysis (Q1016854) (← links)
• The importance of the scales in heterogeneous robust clustering (Q1020101) (← links)
• CLUES: a non-parametric clustering method based on local shrinking (Q1020816) (← links)
• Assessing agreement of clustering methods with gene expression microarray data (Q1023916) (← links)
• Exemplar-based clustering via simulated annealing (Q1036142) (← links)
• Principal point classification: applications to differentiating drug and placebo responses in longitudinal studies (Q1039493) (← links)
• A graph b-coloring framework for data clustering (Q1040797) (← links)
• A global algorithm to estimate the expectations of the components of an observed univariate mixture (Q1042627) (← links)
• Clustering qualitative data based on binary equivalence relations: neighborhood search heuristics for the clique partitioning problem (Q1048651) (← links)
• A novel fuzzy clustering algorithm using observation weighting and context information for reverberant blind speech separation (Q1048867) (← links)
• Asymptotic properties of univariate sample k-means clusters (Q1062391) (← links)
• Clusteranalyse - Überblick und neuere Entwicklungen (Q1144342) (← links)
• An extension of the \(p\)-median group technology algorithm (Q1318507) (← links)
• Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima (Q1362280) (← links)
• Radial basis functions for exploratory data analysis: An iterative majorisation approach for Minkowski distances based on multidimensional scaling (Q1378869) (← links)
• A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms (Q1385092) (← links)
• Integrating robust clustering techniques in S-PLUS (Q1389605) (← links)
• Fast estimation of posterior probabilities in change-point analysis through a constrained hidden Markov model (Q1615137) (← links)
• Quantum annealing for combinatorial clustering (Q1617211) (← links)
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data (Q1621277) (← links)
• A survey of functional principal component analysis (Q1621666) (← links)
• Flexible clustering via extended mixtures of common \(t\)-factor analyzers (Q1622105) (← links)
• Mixtures of common \(t\)-factor analyzers for modeling high-dimensional data with missing values (Q1623795) (← links)
• Bayesian cluster analysis: point estimation and credible balls (with discussion) (Q1631564) (← links)
• A spatio-temporal modeling framework for weather radar image data in tropical southeast Asia (Q1647622) (← links)
• Variable selection for high-dimensional genomic data with censored outcomes using group Lasso prior (Q1654247) (← links)
• Spatial data compression via adaptive dispersion clustering (Q1662049) (← links)
• Angle-based models for ranking data (Q1662177) (← links)