Local Density-based Hierarchical Clustering for Overlapping Distribution using Minimum Spanning Tree
نویسندگان
چکیده
منابع مشابه
Local Density-based Hierarchical Clustering for Overlapping Distribution using Minimum Spanning Tree
In this paper, we propose a clustering algorithm to find clusters of different sizes, shapes and densities. Density and Hierarchical based approaches are adopted in the algorithm using Minimum Spanning Tree, resulting in a new algorithm – Local Density-based Hierarchical Clustering Algorithm for overlapping data distribution using Minimum Spanning Tree (LDHCODMST). The algorithm is divided into...
متن کاملLocal Density-based Hierarchical Clustering for Overlapping Distribution using Minimum Spanning Tree
In this paper, we propose a clustering algorithm to find clusters of different sizes, shapes and densities. Density and Hierarchical based approaches are adopted in the algorithm using Minimum Spanning Tree, resulting in a new algorithm – Local Density-based Hierarchical Clustering Algorithm for overlapping data distribution using Minimum Spanning Tree (LDHCODMST). The algorithm is divided into...
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Clustering techniques are widely used in many application fields like image analysis, data mining, and knowledge discovery, among others. In this work, we present a new clustering algorithm to find clusters of different sizes, shapes and densities, able to deal with overlapping cluster distributions and background noise. The algorithm is divided in two stages, in a first step; local density is ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/6153-8542