Relationships between distance measures adopted for transactional data analysis

Transactional data is today's great resource of information. Unsummarized form of this type of data can reveal interesting relationships between elements of transactions. Hierarchical clustering coupled with usage of appropriate measures can reveal various aspects of these relationships. The choice of measure is a key component for getting useful analysis results. In this paper we present the continuation of our research dealing with these measures by analyzing relationships between them, better understanding of which is a great asset for analysts using them in their transactional data analysis.

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