A Stochastic Multi-criteria divisive hierarchical clustering algorithm

Algorithm for Hierarchical Multi-way Divisive Clustering of Document Collections

This paper proposes a novel algorithm of hierarchical divisive clustering, which generates a multi-branch tree, not a binary one, as its output. In order to use the algorithm for clustering large document sets, a spherical kmeans clustering algorithm based on a cosine measure is adopted for partitioning recursively the document set from the top to bottom. Also, by selecting automatically the nu...

A Novel Divisive Hierarchical Clustering Algorithm for Geospatial Analysis

In the fields of geographic information systems (GIS) and remote sensing (RS), the clustering algorithm has been widely used for image segmentation, pattern recognition, and cartographic generalization. Although clustering analysis plays a key role in geospatial modelling, traditional clustering methods are limited due to computational complexity, noise resistant ability and robustness. Further...

Hierarchical Divisive Clustering with Multi View-Point Based Similarity Measure

All clustering methods have to assume some cluster relationship among the data objects that they are applied on. Similarity between a pair of objects can be defined either explicitly or implicitly. In this paper, we introduce a novel multi-viewpoint based similarity measure and two related clustering methods. The major difference between a traditional dissimilarity/similarity measure and ours i...

Divisive Hierarchical Clustering with K-means and Agglomerative Hierarchical Clustering

To implement divisive hierarchical clustering algorithm with K-means and to apply Agglomerative Hierarchical Clustering on the resultant data in data mining where efficient and accurate result. In Hierarchical Clustering by finding the initial k centroids in a fixed manner instead of randomly choosing them. In which k centroids are chosen by dividing the one dimensional data of a particular clu...

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series