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» A new clustering algorithm for coordinate-free data
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IGPL
2011
13 years 6 days ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
ICAISC
2010
Springer
13 years 10 months ago
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data
This paper presents a new implementation of the co-VAT algorithm. We assume we have an m × n matrix D, where the elements of D are pair-wise dissimilarities between m row objects ...
Timothy C. Havens, James C. Bezdek, James M. Kelle...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 2 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
JDCTA
2010
464views more  JDCTA 2010»
13 years 1 days ago
A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
Hui Gao, Jun Jiang, Li She, Yan Fu
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
13 years 11 months ago
A New Clustering Strategy with Stochastic Merging and Removing Based on Kernel Functions
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
Huimin Geng, Hesham H. Ali