RclusTool

RclusTool is a clustering and visualization R toolbox.

https://gitlab.com/PAHebert/RclusTool

Science Score: 18.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

RclusTool is a clustering and visualization R toolbox.

Basic Info
  • Host: gitlab.com
  • Owner: PAHebert
  • Default Branch: master
Statistics
  • Stars: 0
  • Forks: 0
  • Open Issues: 30
  • Releases: 0
Created almost 8 years ago
Metadata Files
Readme License Citation

README.md

Welcome to RclusTool [R package]

What is RclusTool ?

RclusTool is a Clustering and visualization toolbox.

Package content

  • visualization and processing of data with different formats: profile/time series, features and images
  • unsupervised clustering
  • semi-supervised clustering
  • supervised classification
  • labeling expert interface
  • constraint expert labeling (matching without specific name : points must be link or can not link)

How to use this R package

From a R console:

{r} library(RclusTool) RclusTool()

Contributing organizations

Development

Other contributions

Funding partners


Contact us at hebert[at]univ[-]littoral[dot]fr

Citation (CITATION)

bibentry(bibtype = "Article",
           header       = "This package relies on Constrained spectral embedding for K-way data clustering:",
           title        = "Constrained spectral embedding for K-way data clustering",
           author       = "Guillaume Wacquet, Emilie Poisson Caillault, Denis Hamad, Pierre-Alexandre Hebert",
           journal      = "Pattern Recognition Letters",
           year         = "2013",
           volume       = "34",
           number       = "9",
           pages        = "1009--1017",
           url          = "https://hal.archives-ouvertes.fr/hal-01536663",
           pdf          = "https://hal.archives-ouvertes.fr/hal-01536663/file/2013.PRL.pdf",
           doi 			= "10.1016/j.patrec.2013.02.003",

           ## textVersion  = paste("Guillaume Wacquet, Emilie Poisson Caillault, Denis Hamad, Pierre-Alexandre Hebert (2013).",
           ##   "Constrained spectral embedding for K-way data clustering.",
           ##   "Pattern Recognition Letters, 34(9), 1009-1017.",
           ##   "URL https://doi.org/10.1016/j.patrec.2013.02.003"),
)
bibentry(bibtype = "Inbook",
           title        = "Semi-supervised K-Way Spectral Clustering with Determination of Number of Clusters",
           author       = "Guillaume Wacquet, Emilie Poisson Caillault, Pierre-Alexandre Hebert",
           editor       = "Madani, Kurosh and Dourado, Antonio and Rosa, Agostinho and Filipe, Joaquim",
           bookTitle    = "Computational Intelligence: Revised and Selected Papers of the International Joint Conference, IJCCI 2011, Paris, France, October 24-26, 2011",
           chapter      = "Semi-supervised K-Way Spectral Clustering with Determination of Number of Clusters",
           year         = "2013",
           publisher    = "Springer Berlin Heidelberg",
           address      = "Berlin, Heidelberg",
           pages        = "317--332",
           isbn         = "978-3-642-35638-4",
           doi          = "10.1007/978-3-642-35638-4_21"
)

Dependencies

DESCRIPTION cran
  • R >= 3.0.0 depends
  • tcltk * depends
  • tcltk2 * depends
  • tkrplot * depends
  • FactoMineR * imports
  • MASS * imports
  • SearchTrees * imports
  • class * imports
  • cluster * imports
  • conclust * imports
  • corrplot * imports
  • e1071 * imports
  • factoextra * imports
  • ggplot2 * imports
  • grid * imports
  • jpeg * imports
  • knitr * imports
  • mclust * imports
  • mda * imports
  • mmand * imports
  • nnet * imports
  • png * imports
  • randomForest * imports
  • reshape * imports
  • rlang * imports
  • sp * imports
  • stats * imports
  • stringi * imports
  • stringr * imports
  • tools * imports