fpc: Flexible Procedures for Clustering

Canonical link: https://scholar.rpkg.net/pkg/fpc

Christian Hennig • View description and downloads View dependencies GitHub project

2003 Published

2.2-11 Version

0 Citations

1 Authors

Referenced by ⇅	Year
liayson: Linking Singe-Cell Transcriptomes Atween Contemporary Subpopulation Genomes (Version 1.0.5)	2018
mlr: Machine Learning in R (Version 2.19.1)	2013
mlr3cluster: Cluster Extension for 'mlr3' (Version 0.1.9)	2020
Canek: Batch Correction of Single Cell Transcriptome Data (Version 0.2.5)	2022
ClusBoot: Bootstrap a Clustering Solution to Establish the Stability of the Clusters (Version 1.2.1)	2019
DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics (Version 1.2.2)	2020
FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection (Version 1.1.1)	2021
ICSClust: Tandem Clustering with Invariant Coordinate Selection (Version 0.1.0)	2023
IPCAPS: Iterative Pruning to Capture Population Structure (Version 1.1.8)	2018
MEGENA: Multiscale Clustering of Geometrical Network (Version 1.3.7)	2016
MOSS: Multi-Omic Integration via Sparse Singular Value Decomposition (Version 0.2.2)	2021
NIMAA: Nominal Data Mining Analysis (Version 0.2.1)	2021
RPANDA: Phylogenetic ANalyses of DiversificAtion (Version 2.3)	2014
RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data (Version 0.3.5)	2018
SPARTAAS: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS (Version 1.2.1)	2021
beadplexr: Analysis of Multiplex Cytometric Bead Assays (Version 0.5.0)	2018
bootcluster: Bootstrapping Estimates of Clustering Stability (Version 0.3.2)	2017
clusEvol: A Procedure for Cluster Evolution Analytics (Version 1.0.0)	2024
cluster: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al. (Version 2.1.6)	1999
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.0.0)	2024
clustrd: Methods for Joint Dimension Reduction and Clustering (Version 1.4.0)	2013
coca: Cluster-of-Clusters Analysis (Version 1.1.0)	2020
conjoint: An Implementation of Conjoint Analysis Method (Version 1.41)	2011
dann: Discriminant Adaptive Nearest Neighbor Classification (Version 1.0.0)	2019
dbscan: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms (Version 1.1-12)	2015
dendextend: Extending 'dendrogram' Functionality in R (Version 1.17.1)	2014
drclust: Simultaneous Clustering and (or) Dimensionality Reduction (Version 0.1)	2024
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)	2019
immunarch: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires (Version 0.9.1)	2020
lsirm12pl: Latent Space Item Response Model (Version 1.3.1)	2022
nullabor: Tools for Graphical Inference (Version 0.3.9)	2011
opticskxi: OPTICS K-Xi Density-Based Clustering (Version 0.1)	2019
parameters: Processing of Model Parameters (Version 0.21.6)	2019
pathfindR: Enrichment Analysis Utilizing Active Subnetworks (Version 2.3.1)	2018
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)	2013
robCompositions: Compositional Data Analysis (Version 2.4.1)	2009
sae.prop: Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation (Version 0.1.2)	2022
semiArtificial: Generator of Semi-Artificial Data (Version 2.4.1)	2014
stream: Infrastructure for Data Stream Mining (Version 2.0-2)	2013
trimcluster: Cluster Analysis with Trimming (Version 0.1-5)	2006
truh: Two-Sample Nonparametric Testing Under Heterogeneity (Version 1.0.0)	2021
tspmeta: Instance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Problem (Version 1.2)	2013
wskm: Weighted k-Means Clustering (Version 1.4.40)	2014

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.