International audienceAgglomerative Hierarchical Clustering (AHC) is a classical explanatory approach allowing to organize instances of a database into a binary tree whose nodes express different levels of generality. However, the topology of a binary tree is not always semantically optimal. In many contexts, it would be more relevant to create a shallow Directed Acyclic Graph (DAG) instead of a tree, thus allowing to express overlaps. In this paper, we propose a new AHC algorithm which is based on the parallel use of multiple agents (aggregation, merging, sharing, ...) to build such DAG
International audienceLance-Williams formula is a framework that unifies seven schemes of agglomerat...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
International audienceWe focus on a modification of the classical hierarchical agglomerative cluster...
International audienceAgglomerative clustering methods have been widely used by many research commun...
Abstract. Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a d...
We studied a new general clustering procedure, that we call here Agglomerative 2-3 Hierarchical Clus...
Exact methods for Agglomerative Hierarchical Clustering (AHC) with average linkage do not scale well...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
This paper studies the hierarchical clustering problem, where the goal is to produce a dendrogram th...
This thesis studies the hierarchical clustering problem, where the goal is to produce a dendrogram t...
International audienceHierarchical Agglomerative Classification (HAC) with Ward’s linkage has been w...
HDBSCAN*, a state-of-the-art density-based hierarchical clustering method, produces a hierarchical o...
Fast and high-quality document clustering algorithms play an important role in providing intuitive n...
International audienceWe present a novel hierarchical graph clustering algorithm inspired by modular...
International audienceLance-Williams formula is a framework that unifies seven schemes of agglomerat...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
International audienceWe focus on a modification of the classical hierarchical agglomerative cluster...
International audienceAgglomerative clustering methods have been widely used by many research commun...
Abstract. Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a d...
We studied a new general clustering procedure, that we call here Agglomerative 2-3 Hierarchical Clus...
Exact methods for Agglomerative Hierarchical Clustering (AHC) with average linkage do not scale well...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
This paper studies the hierarchical clustering problem, where the goal is to produce a dendrogram th...
This thesis studies the hierarchical clustering problem, where the goal is to produce a dendrogram t...
International audienceHierarchical Agglomerative Classification (HAC) with Ward’s linkage has been w...
HDBSCAN*, a state-of-the-art density-based hierarchical clustering method, produces a hierarchical o...
Fast and high-quality document clustering algorithms play an important role in providing intuitive n...
International audienceWe present a novel hierarchical graph clustering algorithm inspired by modular...
International audienceLance-Williams formula is a framework that unifies seven schemes of agglomerat...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
International audienceWe focus on a modification of the classical hierarchical agglomerative cluster...