NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set

Autor: Véronique Boiteau, Malika Charrad, Azam Niknafs, Nadia Ghazzali

Publikováno v: Journal of Statistical Software, Vol 61, Iss 1, Pp 1-36 (2014)
Journal of Statistical Software; Vol 61 (2014); 1-36

Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a group are more similar to each others than objects in different groups. Most of the clustering algorithms depend on some assumptions in order to define

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::735f288f531d2c072d957f61625c3a80
http://www.jstatsoft.org/index.php/jss/article/view/2194

Non parametric on-line control of batch processes based on STATIS and clustering

Autor: Ndeye Niang Keita, Flavio Fogliatto, Gilbert Saporta

Publikováno v: Journal de la Société Française de Statistique
Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2013, 154 (3), pp.124-142
HAL

Batch processes are widely used in several industrial sectors, e.g. food and pharmaceutical manufacturing.Process performance is described by variables which are monitored as the batch progresses. Data arising from such processes are usually monitore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bd543360175d204274f492e4976149b3
https://hal.archives-ouvertes.fr/hal-01126343/document

NbClust Package. An examination of indices for determining the number of clusters

Autor: Charrad, Malika, Ghazzali , Nadia, Boiteau, Véronique, Niknafs, Azam

Available at http://cran.r-project.org/; NbClust R package provides most of the popular indices for cluster validation ready to use for the outputs produced by functions coming from the same package. It also proposes to user the best clustering schem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b383a94eb026ceeca30b8656bc5934dd
https://hal.archives-ouvertes.fr/hal-01126138

Block clustering for web pages categorization

Autor: Mohamed Ben Ahmed, Yves Lechevallier, Malika Charrad, Gilbert Saporta

Publikováno v: IDEAL 2009: Intelligent Data Engineering and Automated Learning
IDEAL 2009: Intelligent Data Engineering and Automated Learning, Sep 2009, Burgos, Spain. pp.260-267, ⟨10.1007/978-3-642-04394-9_32⟩
Intelligent Data Engineering and Automated Learning-IDEAL 2009 ISBN: 9783642043932
IDEAL

With the growth of web-based applications and the increased popularity of the World Wide Web (WWW), the WWW became the greatest source of information available in the world leading to an increased difficulty of extracting relevant information. Moreov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96c019469bfa9614f2eac4fe41081906
https://hal.science/hal-01125843

Determining the number of clusters in CROKI2 algorithm

Autor: Malika Charrad, Mohamed Ben Ahmed, Yves Lechevallier, Gilbert Saporta

Publikováno v: HAL
MSDM'09-Meeting on Statistics and Data Mining
MSDM'09-Meeting on Statistics and Data Mining, Mar 2009, Hammamet, Tunisia. pp.143-148

One of the major problems in clustering is the needof specifying the optimal number of clusters in someclustering algorithms. Some block clusteringalgorithms suffer from the same limitation that thenumber of clusters needs to be specified by a humanu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1d99841fdf9481c5c402856d241818f0
https://hal.archives-ouvertes.fr/hal-01125741