Defining similarity measures is a requirement for some machine learning methods. One
such method is case-based reasoning (CBR) where the similarity measure is used to
retrieve the stored case or a set of cases most similar to the query case. Describing a
similarity measure analytically is challenging, even for domain experts working with CBR
experts. However, datasets are typically gathered as part of constructing a CBR or machine
learning system. These datasets are assumed to contain the features that correctly identify …

Defining similarity measures is a requirement for some machine learning methods. One
such method is case-based reasoning (CBR) where the similarity measure is used to
retrieve the stored case or set of cases most similar to the query case. Describing a similarity
measure analytically is challenging, even for domain experts working with CBR experts.
However, data sets are typically gathered as part of constructing a CBR or machine learning
system. These datasets are assumed to contain the features that correctly identify the …