1.The features A1 and A2 were measured for each member of two groups X and Y. The measurements are given below: Group X Feature A1 120 100 130 120 140 Feature A2 75 80 80 70 70 Group Y Feature A1 80 70 90 90 100 Feature A2 70 70 60 70 60 You are given that: Query1 has features A1 - 120, A2 - 85, and Query2 has features A1 - 90, A2 - 50. Classify Query1 and Query2 by using: Euclidean distance method

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
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1.The features A1 and A2 were measured for each member of two groups X and Y. The
measurements are given below:
Group X
Feature A1
120
100
130
120
140
Feature A2
75
80
80
70
70
Group Y
Feature A1
80
70
90
90
100
Feature A2
70
70
60
70
60
You are given that: Query1 has features A1 - 120, A2 - 85, and Query2 has features A1 - 90, A2 -
50.
Classify Query1 and Query2 by using: Euclidean distance method
2.Apply the Apriori algorithm to the following transactional data. The data has been obtained from a
popular supermarket chain in Nairobi during the school's opening week.
Assume minimum support of minimum support of 25%, and minimum confidence 55%, and derive a
rule or rules
Transcribed Image Text:1.The features A1 and A2 were measured for each member of two groups X and Y. The measurements are given below: Group X Feature A1 120 100 130 120 140 Feature A2 75 80 80 70 70 Group Y Feature A1 80 70 90 90 100 Feature A2 70 70 60 70 60 You are given that: Query1 has features A1 - 120, A2 - 85, and Query2 has features A1 - 90, A2 - 50. Classify Query1 and Query2 by using: Euclidean distance method 2.Apply the Apriori algorithm to the following transactional data. The data has been obtained from a popular supermarket chain in Nairobi during the school's opening week. Assume minimum support of minimum support of 25%, and minimum confidence 55%, and derive a rule or rules
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