DIVCLUS-T is a descendant hierarchical clustering method based on a monothetic biclustering approach allowing the dendrogram to be read as a decision tree. Like in Ward ascendant method, the within-cluster inertia is minimized at each iteration. The DIVCLUS-T constructs then a indexed hierarchy as in Ward clustering but the dendrogram gives moreover simple decision rules for each cluster of the hierarchy. This method is designed for numerical, categorical and mixed data (mixture of numerical and numerical variables) and is implemented is the divclust R package
Abstract: In this paper we propose a divisive top-down clustering method designed for interval and h...
<p>Dendrogram for the hierarchical clustering of the books using the Ward variance minimization algo...
Clustering is the process of grouping the data into classes or clusters. Objects within a class have...
National audienceDIVCLUS-T is a descendant hierarchical clustering method based on a monothetic bicl...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a descendant hierarchical clustering methods based on the same monothetic approach than...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional appr...
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional appr...
National audienceDIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic b...
monothetic divisive algorithms often need for some means of post-classification relocation. We intro...
monothetic divisive algorithms often need for some means of post-classification relocation. We intro...
International audienceDIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothe...
In this paper we propose a divisive top-down clustering method designed for interval and histogram-v...
Abstract: In this paper we propose a divisive top-down clustering method designed for interval and h...
<p>Dendrogram for the hierarchical clustering of the books using the Ward variance minimization algo...
Clustering is the process of grouping the data into classes or clusters. Objects within a class have...
National audienceDIVCLUS-T is a descendant hierarchical clustering method based on a monothetic bicl...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a descendant hierarchical clustering methods based on the same monothetic approach than...
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approa...
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional appr...
DIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic bipartitional appr...
National audienceDIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothetic b...
monothetic divisive algorithms often need for some means of post-classification relocation. We intro...
monothetic divisive algorithms often need for some means of post-classification relocation. We intro...
International audienceDIVCLUS-T is a descendant hierarchical clustering algorithm based on a monothe...
In this paper we propose a divisive top-down clustering method designed for interval and histogram-v...
Abstract: In this paper we propose a divisive top-down clustering method designed for interval and h...
<p>Dendrogram for the hierarchical clustering of the books using the Ward variance minimization algo...
Clustering is the process of grouping the data into classes or clusters. Objects within a class have...