flexclust: Flexible Cluster Algorithms

Canonical link: https://rscholar.com/pkg/flexclust

Friedrich Leisch • Evgenia Dimitriadou • Bettina Grün • View description and downloads View dependencies GitHub project

2005 Published

1.4-2 Version

0 Citations

3 Authors

Referenced by ⇅	Year
AurieLSHGaussian: Creates a Neighbourhood Using Locality Sensitive Hashing for Gaussian Projections (Version 0.2.0)	2017
FCPS: Fundamental Clustering Problems Suite (Version 1.3.4)	2020
FeatureImpCluster: Feature Importance for Partitional Clustering (Version 0.1.5)	2020
MVA: An Introduction to Applied Multivariate Analysis with R (Version 1.0-8)	2011
OTclust: Mean Partition, Uncertainty Assessment, Cluster Validation and Visualization Selection for Cluster Analysis (Version 1.0.6)	2019
RSKC: Robust Sparse K-Means (Version 2.4.2)	2011
Xplortext: Statistical Analysis of Textual Data (Version 1.5.3)	2017
biclust: BiCluster Algorithms (Version 2.0.3.1)	2008
bootcluster: Bootstrapping Estimates of Clustering Stability (Version 0.3.2)	2017
clue: Cluster Ensembles (Version 0.3-65)	2004
clusTransition: Monitor Changes in Cluster Solutions of Dynamic Datasets (Version 1.0)	2021
dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance (Version 6.0.0)	2015
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)	2019
mcen: Multivariate Cluster Elastic Net (Version 1.2.1)	2018
miclust: Multiple Imputation in Cluster Analysis (Version 1.2.8)	2021
ockc: Order Constrained Solutions in k-Means Clustering (Version 1.1)	2016
semiArtificial: Generator of Semi-Artificial Data (Version 2.4.1)	2014
tidyclust: A Common API to Clustering (Version 0.2.3)	2022
wrMisc: Analyze Experimental High-Throughput (Omics) Data (Version 1.15.2)	2019

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.