In this work, we begin with the presentation of the Tθ family of usual similarity measures concerning multidimensional binary data. Subsequently, some properties of these measures are proposed. Finally the impact of the use of different inter-elements measures on the results of the Agglomerative Hierarchical Clustering Methods is studied
AbstractÐThis paper presents a Similarity-Based Agglomerative Clustering (SBAC) algorithm that works...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...
This paper presents a new Similarity Based Agglomerative Clustering(SBAC) algorithm that works well ...
10.3390/e15125464Complex systems are usually represented as an intricate set of relations between th...
<p>Agglomerative hierarchical cluster analysis for the whole data set to define the natural division...
Copyright © 2009 Polish Academy of Sciences.Cluster analysis or classification usually concerns a se...
Hierarchical clustering is of great importance in data analytics especially because of the exponenti...
Bandelt H-J, Dress A. Weak hierarchies associated with similarity measures—An additive clustering te...
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering,...
agglomerative hierarchical clustering methods. Agglomerative hierarchical clustering methods are bot...
Abstract In this paper we suggest a new index for measuring the distance between two hierarchical cl...
Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis ...
International audienceLance-Williams formula is a framework that unifies seven schemes of agglomerat...
Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis ...
In this work, the agglomerative hierarchical clustering and K-means clustering algorithms are implem...
AbstractÐThis paper presents a Similarity-Based Agglomerative Clustering (SBAC) algorithm that works...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...
This paper presents a new Similarity Based Agglomerative Clustering(SBAC) algorithm that works well ...
10.3390/e15125464Complex systems are usually represented as an intricate set of relations between th...
<p>Agglomerative hierarchical cluster analysis for the whole data set to define the natural division...
Copyright © 2009 Polish Academy of Sciences.Cluster analysis or classification usually concerns a se...
Hierarchical clustering is of great importance in data analytics especially because of the exponenti...
Bandelt H-J, Dress A. Weak hierarchies associated with similarity measures—An additive clustering te...
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering,...
agglomerative hierarchical clustering methods. Agglomerative hierarchical clustering methods are bot...
Abstract In this paper we suggest a new index for measuring the distance between two hierarchical cl...
Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis ...
International audienceLance-Williams formula is a framework that unifies seven schemes of agglomerat...
Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis ...
In this work, the agglomerative hierarchical clustering and K-means clustering algorithms are implem...
AbstractÐThis paper presents a Similarity-Based Agglomerative Clustering (SBAC) algorithm that works...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...
This paper presents a new Similarity Based Agglomerative Clustering(SBAC) algorithm that works well ...