Identifying Similar T Cell Receptor Hyper-Variable Sequences
with 'ClusTCR2'

Clusters of Effects Curves in Quantile Regression Models

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.

R package cluster.datasets version 1.0-1

Performs Tests for Cluster Tendency of a Data Set
R package clusterability version 0.2.3.0

Analyze Clustered Data using the Cluster Bootstrap
R package ClusterBootstrap version 2.0.0

Nonparametric Analysis of Clustered Multistate Processes

Location and Visualization of Clustered Somatic Mutations
R package ClusteredMutations version 1.0.2

Random Cluster Generation (with Specified Degree of Separation)
R package clusterGeneration version 1.3.8

Sparse Gaussian Graphical Modeling with Variable Clustering

Optimal Distance-Based Clustering for Multidimensional Data with
Sequential Constraint

Clustered Jackknife Instrumental Variables Estimation

Cluster Analysis with Missing Values by Multiple Imputation

Unbiased Single-Cell Transcriptomic Data Cell Type
Identification

Evaluate Function Calls on HPC Schedulers (SLURM, LSF, SGE, GCS,
OCS, PBS, Torque)
R package clustermq version 0.10.1

Integrative Clustering for Heterogeneous Biomedical Datasets

Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids
and Affinity Propagation Clustering
R package ClusterR version 1.3.6

Small Sample Adjustment of Cluster Randomized Trial
R package ClusterRandSSAdj version 1.0.0

Reproducibility of Gene Expression Clusters

Calculate Cluster-Robust p-Values and Confidence Intervals

Searching for Optimal Clustering Procedure for a Data Set

Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions
R package ClusterStability version 1.0.4

Assessment of Cluster Stability by Randomized Maps

Fitting Latent Class Vector-Autoregressive (VAR) Models

Hierarchical Clustering with Spatial Constraints

Model-Based Clustering of Mixed-Type Longitudinal Data

K-Means Clustering with Build-in Missing Data Imputation

Learn Clustering Techniques Through Examples and Code

k-Prototypes Clustering for Mixed Variable-Type Data