Artificial Intelligence: An Experiment in Animal Self-Classification

The purpose of this experiment is to see whether an explorative data mining program could recognize degree of similarities in about 60 species of animals, from honeybees to lions, to starfish, parrots, etc. The software program used is from www.viscovery.net . Some uses of this program are: (a) clustering of customer data according to their behaviour. (b) In gene data analytics to identify biomarkers for the diagnosis of diseases. (c) For fraud profiling and forensic applications. The data is from the University of California Irvine data archive (archive.ics.uci.edu/ml). The ‘properties’ (attributes) considered were: backbone, legs, fins, lungs, hair, feathers, eggs, milk, tail, domestic, aquatic, airborne, venomous, predator. Presence of an attribute is denoted by 1, and absence by 0, except for Legs, where it has a numerical value of: 2,4,6,8 legs. The tool was made to learn the attributes of all the animals and group them into clusters, each cluste...