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» Density-Sensitive Evolutionary Clustering
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CIMCA
2005
IEEE
15 years 3 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
14 years 10 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
LREC
2008
112views Education» more  LREC 2008»
14 years 10 months ago
Modeling Document Dynamics: an Evolutionary Approach
News articles about the same event published over time have properties that challenge NLP and IR applications. A cluster of such texts typically exhibits instances of paraphrase a...
Jahna Otterbacher, Dragomir R. Radev
APIN
2000
87views more  APIN 2000»
14 years 9 months ago
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
Neil Davey, Rod Adams, Stella J. George
APCHI
2004
IEEE
15 years 1 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley