
clusfind
 Referenced in 475 articles
[sw27805]
 fuzzy clustering); Chapter 5+6 : TWINS.FOR (hierarchical clustering; you can choose between agglomerative and divisive...

impute
 Referenced in 102 articles
[sw14376]
 input. For example, methods such as hierarchical clustering and Kmeans clustering are not robust...

ROCK
 Referenced in 72 articles
[sw37720]
 algorithms that use distances between points for clustering are not appropriate for boolean and categorical ... data points. We develop a robust hierarchical clustering algorithm ROCK that employs links...

sparcl
 Referenced in 51 articles
[sw16353]
 package sparcl: Perform sparse hierarchical clustering and sparse kmeans clustering. Implements the sparse clustering...

frailtypack
 Referenced in 43 articles
[sw06070]
 frailty model and Cox proportional hazard model. Clustered and recurrent survival times can be studied ... slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering...

clusterpath
 Referenced in 29 articles
[sw41747]
 proposing a convex relaxation of hierarchical clustering, which results in a family of objective functions...

dynamicTreeCut
 Referenced in 18 articles
[sw12570]
 Methods for detection of clusters in hierarchical clustering dendrograms. Contains methods for detection of clusters ... hierarchical clustering dendrograms...

clustvarsel
 Referenced in 21 articles
[sw07967]
 implements variable selection methodology for modelbased clustering which allows to find the (locally) optimal ... without subsampling at the hierarchical clustering stage for starting Mclust models. By default...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 bagged decision trees, kmeans and hierarchical clustering, knearest neighbor search, Gaussian mixtures...

Vlfeat
 Referenced in 46 articles
[sw13478]
 feature detectors, feature extractors, (hierarchical) kmeans clustering, randomized kdtree matching, and superpixelization...

RACHET
 Referenced in 10 articles
[sw02342]
 This paper presents a hierarchical clustering method named RACHET (Recursive Agglomeration of Clustering Hierarchies ... volume of a covering hypersphere. For each cluster centroid, RACHET maintains descriptive statistics of constant ... wide class of centroidbased hierarchical clustering algorithms, such as centroid, medoid, and Ward...

pvclust
 Referenced in 10 articles
[sw07120]
 package pvclust: Hierarchical Clustering with PValues via Multiscale Bootstrap Resampling. pvclust is a package ... assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) pvalues...

PermutMatrix
 Referenced in 13 articles
[sw22075]
 dataset. It implements several types of cluster analysis and a variety of methods for statistical ... work on the use of hierarchical clustering for gene expression data...

shallot
 Referenced in 10 articles
[sw26314]
 common in some clustering algorithms (e.g., hierarchical clustering), but we show how to use this...

ClustGeo
 Referenced in 8 articles
[sw20893]
 ClustGeo: an R package for hierarchical clustering with spatial constraints. In this paper, we propose ... Wardlike hierarchical clustering algorithm including spatial/geographical constraints. Two dissimilarity matrices...

fastcluster
 Referenced in 9 articles
[sw12470]
 fastcluster: Fast Hierarchical Clustering Routines for R and Python. This ... Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed...

SAINTETIQ
 Referenced in 17 articles
[sw02290]
 model named SAINTETIQ. Based on a hierarchical conceptual clustering algorithm, SAINTETIQ incrementally builds a summary...

HykGene
 Referenced in 9 articles
[sw23981]
 hybrid approach that combines gene ranking and clustering analysis. In this approach, we first applied ... ranked genes, and then applied hierarchical clustering on these genes to generate a dendrogram. Finally...

dendextend
 Referenced in 9 articles
[sw16586]
 visualize and compare trees of hierarchical clusterings. You can (1) Adjust a tree’s graphical...

DIVCLUST
 Referenced in 5 articles
[sw02736]
 DIVCLUST: a monothetic divisive hierarchical clustering method. DIVCLUST is a divisive hierarchical clustering ... categorical data. Like the Ward agglomerative hierarchical clustering algorithm and the kmeans partitioning algorithm...