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TKDE
2008
197views more  TKDE 2008»
15 years 5 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
EUROMICRO
2011
IEEE
14 years 5 months ago
Software Product Quality in Global Software Development: Finding Groups with Aligned Goals
— The development of a software product in an organization involves various groups of stakeholders who may prioritize the qualities of the product differently. This paper present...
Panagiota Chatzipetrou, Lefteris Angelis, Sebastia...
CSDA
2007
103views more  CSDA 2007»
15 years 5 months ago
Cluster-wise assessment of cluster stability
Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same clustering, some clusters m...
Christian Hennig
ESIAT
2009
IEEE
15 years 3 months ago
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
Liu Hangye, Sui Xuelian, Zong Jingchun