Fisher Iris Dataset but why?

a widely
used benchmark data set for statistics and machine learning.

good results are shown but why IRIS


J.~Kim and P.~J.~Bentley (2001)
------------
We prepared three different data
sets from this original data set by taking one set as a self
set and the rest as a non-self set.

A tenfold cross-validation method was employed to
prepare a training set for the AIS to evolve and a test set
to detect previously unseen non-self patterns. 

For the iris data set the best TP rate reached 100%. ... 
the worst FP average rate was only 1%.
-----------


Yu Guan
The graphs show that the Setosa class can be linearly
separated from the Versicolor and Virginica classes, and the latter two classes are
overlapping so that they are not linearly separable.


Daryl E. Hershberger and Hillol Kargupta
---
An application to the Iris data
set with the assumption that each feature resides in a different data base showed classifica-tion
accuracy similar to centralized techniques.



retina
Integrated Risk Information System

Timmis et al.~(2000)
An artificial immune system for data analysis. Biosystems, 55(1/3):143--150.

J.~Kim and P.~J.~Bentley (2001)
"Towards an Artificial Immune System for Network Intrusion Detection:
An Investigation of Clonal Selection with a Negative Selection Operator"
Proceedings of the Congress on Evolutionary Computation.

Yu Guan
K-means+: An Autonomous Clustering Algorithm

L. N. de Castro and J. Timmis
Artificial Immune Systems: A Novel Paradigm to Pattern Recognition



I. Antoniou et al.~(1999)
"Information processing in Artificial Immune Systems: approaches and state of the art."
Preprint of the International Solvay Institutes for Physics and Chemistry, SOLVAY 01-03, 
Brussels, 1999. 

A. Watkins et al.~(2004)
"Artificial immune recognition system (AIRS): Revisions and refinments."
Proc. of the Society for the Study of Artificial Intelligence and the
Simulation of Behaviour (AISB) 2004 Symposium on the Immune System and cognition.
pp. 18--26.

E. Hart (2002)
"Immunology as a Metaphor for Computational Information Processing: Fact or Fiction ?"
Ph.D. Dissertation. Artifcial Intelligence Applications Institute,
Division of Informatics, University of Edinburgh

D.~E.~Goodman, Jr et al. (2001)
"An Investigation into the Source of Power for AIRS, an Artificial Immune Classification
System."

J.~Mill et al. (2003)
An Application of Fuzzy Support Vectors

Daryl E. Hershberger and Hillol Kargupta (2002)
Distributed Multivariate Regression Using
Wavelet-based Collective Data Mining.


Paper #: 18124
Nearest unlike neighbor(NUN): an aid to decision confidence estimation, pp.2785-2792 Author(s): Belur V. Dasarathy, Dynetics, Inc., Huntsville, AL, USA.