We studied a new general clustering procedure, that we call here Agglomerative 2-3 Hierarchical Clustering (2-3 AHC), which was proposed in Bertrand (2002a, 2002b). The three main contribution of this paper are: first, the theoretical study has led to reduce the complexity of the algorithm from O(n^3) to O(n^2 log n). Secondly, we proposed a new 2-3 AHC algorithm that simplifies the one proposed in 2002 (its principle is closer to the principle of the classical AHC). Finally, we proposed a first implementation of a 2-3 AHC algorithm.ou
Clustering is a process of grouping objects and data into groups of clusters to ensure that data obj...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
Hierarchical clustering constructs a hierarchy of clusters by either repeatedly merging two smaller ...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
A computationally efficient agglomerative clustering algorithm based on multilevel theory is present...
Abstract. Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a d...
Hierarchical Agglomerative Classification (HAC) with Ward’s linkage has been widely used since its i...
We present two results which arise from a model-based approach to hierarchical agglomerative cluster...
We present two results which arise from a model-based approach to hierarchical agglomerative clust...
A broad variety of different methods of agglomerative hierarchical clustering brings along problems ...
Hierarchical clustering is of great importance in data analytics especially because of the exponenti...
The Ward error sum of squares hierarchical clustering method has been very widely used since its fir...
International audienceAgglomerative Hierarchical Clustering (AHC) is a classical explanatory approac...
agglomerative hierarchical clustering methods. Agglomerative hierarchical clustering methods are bot...
Clustering is a process of grouping objects and data into groups of clusters to ensure that data obj...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
Hierarchical clustering constructs a hierarchy of clusters by either repeatedly merging two smaller ...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations tha...
A computationally efficient agglomerative clustering algorithm based on multilevel theory is present...
Abstract. Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a d...
Hierarchical Agglomerative Classification (HAC) with Ward’s linkage has been widely used since its i...
We present two results which arise from a model-based approach to hierarchical agglomerative cluster...
We present two results which arise from a model-based approach to hierarchical agglomerative clust...
A broad variety of different methods of agglomerative hierarchical clustering brings along problems ...
Hierarchical clustering is of great importance in data analytics especially because of the exponenti...
The Ward error sum of squares hierarchical clustering method has been very widely used since its fir...
International audienceAgglomerative Hierarchical Clustering (AHC) is a classical explanatory approac...
agglomerative hierarchical clustering methods. Agglomerative hierarchical clustering methods are bot...
Clustering is a process of grouping objects and data into groups of clusters to ensure that data obj...
We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations t...
Hierarchical clustering constructs a hierarchy of clusters by either repeatedly merging two smaller ...