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Clustering has become a special tool in the case of
identifying homogeneous groups among large population of
dynamic species. Graph coloring technique plays the main role
in clustering procedure in many real world problems', since
dynamic objects can represent by a graph using a set o f
vertices, V and a set o f edges, E and the graph formed can be
clustered in to several number o f homogeneous subgraphs
according to any considered variable using the graph coloring
technique. Basically during this research a vertex coloring
algorithm has been used for finding subgraphs (clusters) from
the initial graph according to certain order. Our main
contribution in this research is investigating the possibilities of
multi species sharing the same cage (multi species exhibits)
based on their food preference using graph coloring technique
at the National Zoological Gardens, Dehiwala, Sri Lanka and
proposing an algorithm that can be used to achieve that target
for any zoological garden using graph coloring technique for
clustering.