An Artificial Immune Network Model Applied to Data Clustering and Classification

2007 ◽  
pp. 526-533 ◽  
Author(s):  
Chenggong Zhang ◽  
Zhang Yi
Keyword(s):  
Network Model ◽  
Data Clustering ◽  
Immune Network ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Clustering And Classification ◽  
Immune Network Model

scholarly journals Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

2003 ◽  
Vol 2003 (8) ◽  
Author(s):  
Romis Ribeiro de Faissol Attux ◽  
Murilo Bellezoni Loiola ◽  
Ricardo Suyama ◽  
Leandro Nunes de Castro ◽  
Fernando José Von Zuben ◽  
...  
Keyword(s):  
Network Model ◽  
Immune Network ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Immune Network Model ◽  
Blind Search

Conceptual and Practical Aspects of the aiNet Family of Algorithms

2012 ◽  
pp. 1-38
Author(s):  
Fabrício O. de França ◽  
Guilherme P. Coelho ◽  
Pablo A.D. Castro ◽  
Fernando J. Von Zuben
Keyword(s):  
Data Clustering ◽  
Critical Analysis ◽  
Immune Network ◽  
Artificial Immune ◽  
Artificial Immune Network ◽  
Specific Theme

In this paper, a review of the conceptual and practical aspects of the aiNet (Artificial Immune Network) family of algorithms will be provided. This family of algorithms started with the aiNet algorithm, proposed in 2002 for data clustering and, since then, several variations have been developed for data clustering, biclustering and optimization in general. Although the algorithms will be positioned with respect to other pertinent approaches from the literature, the emphasis of this paper will be on the formalization and critical analysis of the set of contributions produced along almost one decade of research in this specific theme, together with the provision of insights for further extensions.

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