• 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 K-means 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 k-means 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 model-based clustering which allows to find the (locally) optimal ... without sub-sampling at the hierarchical clustering stage for starting Mclust models. By default...

• Statistics Toolbox

• Referenced in 18 articles [sw10157]
• bagged decision trees, k-means and hierarchical clustering, k-nearest neighbor search, Gaussian mixtures...

• Vlfeat

• Referenced in 46 articles [sw13478]
• feature detectors, feature extractors, (hierarchical) k-means clustering, randomized kd-tree matching, and super-pixelization...

• 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 centroid-based hierarchical clustering algorithms, such as centroid, medoid, and Ward...

• pvclust

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

• 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 ... Ward-like 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...

• DIVCLUS-T

• Referenced in 5 articles [sw02736]
• DIVCLUS-T: a monothetic divisive hierarchical clustering method. DIVCLUS-T is a divisive hierarchical clustering ... categorical data. Like the Ward agglomerative hierarchical clustering algorithm and the k-means partitioning algorithm...