A clustering algorithm based on the Hausdorff distance is analyzed and compared to the single, complete, and average linkage algorithms. The four clustering procedures are applied to a toy example and to the time series of financial data. The dendrograms are scrutinized and their features compared. The Hausdorff linkage relies on firm mathematical grounds and turns out to be very effective when one has to discriminate among complex structures
Clustering is a process of grouping a set of similar data objects within the same group based on sim...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...
A clustering algorithm based on the Hausdorff distance is analyzed and compared to the single, compl...
A clustering algorithm based on the Hausdorff distance is introduced and compared to the single and ...
A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between...
A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between...
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literat...
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literat...
Summary. The Hausdorff distance between two sets is used in this paper to com-pare hyper-rectangles....
This chapter deals with basic tools useful in clustering and classification and present some commonl...
In agglomerative hierarchical clustering, the traditional approaches of computing cluster distances ...
In agglomerative hierarchical clustering, the traditional approaches of computing cluster distances ...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
Clustering is a process of grouping a set of similar data objects within the same group based on sim...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...
A clustering algorithm based on the Hausdorff distance is analyzed and compared to the single, compl...
A clustering algorithm based on the Hausdorff distance is introduced and compared to the single and ...
A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between...
A clustering procedure is introduced based on the Hausdorff distance as a similarity measure between...
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literat...
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literat...
Summary. The Hausdorff distance between two sets is used in this paper to com-pare hyper-rectangles....
This chapter deals with basic tools useful in clustering and classification and present some commonl...
In agglomerative hierarchical clustering, the traditional approaches of computing cluster distances ...
In agglomerative hierarchical clustering, the traditional approaches of computing cluster distances ...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
International audienceThis chapter deals with basic tools useful in clustering and classification an...
Clustering is a process of grouping a set of similar data objects within the same group based on sim...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...
Abstract—Data analysis plays an indispensable role for un-derstanding various phenomena. Cluster ana...