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» Density-Sensitive Evolutionary Clustering
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CIMCA
2005
IEEE
15 years 6 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»
15 years 2 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»
15 years 2 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»
15 years 1 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 4 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