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16

ISDA
2006
IEEE

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Finding Groups in Data: Cluster Analysis with Ants

13 years 10 months ago

Finding Groups in Data: Cluster Analysis with Ants

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We present in this paper a modiﬁcation of Lumer and Faieta’s algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior knowledge of possible number of clusters. We have applied this algorithm on standard databases and we get very good results compared to the AntClass, k–means and ISODATA algorithms for IRIS dataset.

Urszula Boryczka

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Algorithms | Data Clustering | ISDA 2006 | Numerical Data | Operating Systems |

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Added	12 Jun 2010
Updated	12 Jun 2010
Type	Conference
Year	2006
Where	ISDA
Authors	Urszula Boryczka

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