Equivalence partitioning is a data mining technique that is used to discover the hidden relationships between two or more variables. It has a wide range of applications in various fields such as marketing, finance, and healthcare.
Types of Equivalence Partitioning:
Pairwise:
Groupwise:
Radial:
Bucketing:
Weighted Bucketing
Equivalence partitioning is the process of dividing a set into groups that are as similar as possible and then determining the number of objects in each group. The equivalence classes can be represented by sets, vectors, matrices or trees.
Equivalence partitioners are used by companies to identify the most relevant content for their customers. They are used in marketing, content creation, and SEO.
Equivalence class testing can be divided into four types, each of which is an important aspect of the testing process and caters to a different data set.
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