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n measuring data similarity and dissimilarity; similarity is numerical measure of how alike two data objects are and value is higher when two objects are alike, while dissimilarity is a numerical measure of how different two different objects are and value is lower when objects are more alike. Group of answer choices True False

n measuring data similarity and dissimilarity; similarity is numerical measure of how alike two data objects are and value is higher when two objects are alike, while dissimilarity is a numerical measure of how different two different objects are and value is lower when objects are more alike. Group of answer choices True False

Database Systems: Design, Implementation, & Management
Database Systems: Design, Implementation, & Management
11th Edition
ISBN:9781285196145
Author:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Publisher:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos Coronel
Chapter7: Introduction To Structured Query Language (sql)
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In measuring data similarity and dissimilarity; similarity is numerical measure of how alike two data objects are and value is higher when two objects are alike, while dissimilarity is a numerical measure of how different two different objects are and value is lower when objects are more alike.

Group of answer choices

True

False

 

A given dataset could contain attributes of mixed types e.g., nominal, symmetric binary, asymmetric binary, numeric and ordinal. One way to deal with such attributes is to use a weighted formula to combine these attributes affect.

Group of answer choices

True

False

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