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 System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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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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