A Novel Divisive Hierarchical Clustering Algorithm for Geospatial Analysis

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...

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...

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

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...

A divisive hierarchical clustering-based method for indexing image information

In most practical applications of image retrieval, high-dimensional feature vectors are required, but current multi-dimensional indexing structures lose their efficiency with growth of dimensions. Our goal is to propose a divisive hierarchical clustering-based multi-dimensional indexing structure which is efficient in high-dimensional feature spaces. A projection pursuit method has been used fo...