Abstract
This paper introduces new ideas for quantification of the similarity between chemical compounds. The method adopted makes use of similarity measures derived through comparison of two strings. The derived data on the similarity are then analyzed and applied in the identification of clusters in which the entities are more homogeneous and similar than those outside a cluster.
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