@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

ltk:-RJDLJFFG-G
  skos:prefLabel "algorithme glouton rapide"@fr, "fast greedy algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-DN2M4L0D-X
  skos:prefLabel "stream clustering"@en, "clustering de flux"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-M953Z2HG-L
  skos:prefLabel "Dirichlet process mixture model"@en, "modèle de mélange de processus Dirichlet"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-XFJQ3368-Z
  skos:prefLabel "algorithme walktrap"@fr, "walktrap algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-PV0XS6MN-4
  skos:prefLabel "algorithme farthest first"@fr, "farthest first clustering algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-MP3C40D6-V
  skos:prefLabel "BIRCH algorithm"@en, "algorithme BIRCH"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-DH4KG4MM-P
  skos:prefLabel "analyse des classes latentes"@fr, "latent class analysis"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-R81142M3-T
  skos:prefLabel "gaussian mixture model"@en, "modèle de mélange gaussien"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-Q88Z3TS9-F
  skos:narrower ltk:-P99K357W-S, ltk:-DR9NXHQB-Z, ltk:-DK3N80MB-X, ltk:-SNN1H3SP-K, ltk:-R81142M3-T, ltk:-T06XTKK0-P, ltk:-WXSNX1W3-S, ltk:-DN2M4L0D-X, ltk:-R707K2TN-K, ltk:-M953Z2HG-L, ltk:-MTDN9MHQ-T, ltk:-VRK935RW-C, ltk:-MP3C40D6-V, ltk:-VL5PC40L-S, ltk:-JSTND0P1-G, ltk:-CBKPK3R7-6, ltk:-B0PJD5PB-4, ltk:-V2LN3FPP-2, ltk:-RJDLJFFG-G, ltk:-ZN5KWPTL-D, ltk:-CVBBF4LW-S, ltk:-X9FWS2QP-K, ltk:-D4RPN8XC-5, ltk:-XFJQ3368-Z, ltk:-WXB0K9DG-X, ltk:-R3V40S8W-Z, ltk:-PKTKWT5P-V, ltk:-N42WGQ44-G, ltk:-GP646QK9-R, ltk:-PV0XS6MN-4, ltk:-MR7K3VQ4-1, ltk:-DH4KG4MM-P, ltk:-ZHDGBJX8-K ;
  a skos:Concept ;
  skos:altLabel "algorithme de clustering"@fr, "clustering"@en, "clustering"@fr ;
  skos:definition "Algorithme d’apprentissage non supervisé permettant de partitionner des données non étiquetées."@fr, "Unsupervised learning algorithm for partitioning unlabeled data."@en ;
  skos:inScheme ltk: ;
  skos:prefLabel "algorithme de partitionnement"@fr, "clustering algorithm"@en ;
  skos:broader ltk:-GX3TQZGV-M .

ltk:-CVBBF4LW-S
  skos:prefLabel "OPTICS algorithm"@en, "algorithm OPTICS"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-ZN5KWPTL-D
  skos:prefLabel "DBScan"@en, "DBScan"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-X9FWS2QP-K
  skos:prefLabel "algorithme spinglass"@fr, "spinglass algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-MTDN9MHQ-T
  skos:prefLabel "group-average agglomerative clustering"@en, "partitionnement agglomératif de la moyenne du groupe"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-D4RPN8XC-5
  skos:prefLabel "analyse factorielle des correspondances"@fr, "correspondence analysis"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-VL5PC40L-S
  skos:prefLabel "non-negative matrix factorization"@en, "factorisation matricielle non négative"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-R707K2TN-K
  skos:prefLabel "k-medoids"@en, "k-medoïdes"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-V2LN3FPP-2
  skos:prefLabel "Gaussian EM clustering"@en, "partitionnement EM gaussien"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-CBKPK3R7-6
  skos:prefLabel "Louvain clustering"@en, "partitionnement de Louvain"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-VRK935RW-C
  skos:prefLabel "algorithme t-sne"@fr, "t-sne algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-GX3TQZGV-M
  skos:prefLabel "algorithme"@fr, "algorithm"@en ;
  a skos:Concept ;
  skos:narrower ltk:-Q88Z3TS9-F .

ltk:-DR9NXHQB-Z
  skos:prefLabel "algorithme de centralité intermédiaire"@fr, "edge betweenness algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-JSTND0P1-G
  skos:prefLabel "leading eigenvalues"@en, "valeurs propres principales"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-MR7K3VQ4-1
  skos:prefLabel "InfoMap algorithm"@en, "algorithme InfoMap"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-GP646QK9-R
  skos:prefLabel "partitionnement hiérarchique"@fr, "hierarchical clustering"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-WXSNX1W3-S
  skos:prefLabel "distance de Hellinger"@fr, "Hellinger distance"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-B0PJD5PB-4
  skos:prefLabel "algorithme d'espérance-maximisation"@fr, "expectation–maximization algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-SNN1H3SP-K
  skos:prefLabel "décalage moyen"@fr, "mean shift"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk: a skos:ConceptScheme .
ltk:-WXB0K9DG-X
  skos:prefLabel "partitionnement spectral"@fr, "spectral clustering"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-P99K357W-S
  skos:prefLabel "Leiden algorithm"@en, "algortihme de Leiden"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-DK3N80MB-X
  skos:prefLabel "analyse en composantes principales"@fr, "principal component analysis"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-PKTKWT5P-V
  skos:prefLabel "décomposition en valeurs singulières"@fr, "singular value decomposition"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-N42WGQ44-G
  skos:prefLabel "algorithme de l'arbre des suffixes"@fr, "suffix tree algorithm"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-ZHDGBJX8-K
  skos:prefLabel "échelonnement multidimensionnel"@fr, "multidimensional scaling"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-R3V40S8W-Z
  skos:prefLabel "k-moyennes"@fr, "k-means"@en ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .

ltk:-T06XTKK0-P
  skos:prefLabel "affinity propagation"@en, "propagation d'affinités"@fr ;
  a skos:Concept ;
  skos:broader ltk:-Q88Z3TS9-F .