K means clustering Study guides, Class notes & Summaries
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ISYE 6501 MIDTERM 1 COMPLETE EXAM WITH UPGRADED QUESTIONS AND ANSWERS
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What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifiers help you do? - CORRECT ANSWER-differentiate 
What is a soft...
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ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS
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ISYE-6501 Exam 1 QUESTIONS & 
CORRECT ANSWERS 
Algorithm - ANSWER a step-by-step procedure designed to carry 
out a task 
Change Detection - ANSWER Identifying when a significant 
change has taken place 
Classification - ANSWER Separation of data into two or more 
categories 
Classifier - ANSWER A boundary that separates data into two or 
more categories 
Cluster - ANSWER A group of points that are identified as being 
similar or near each other 
Cluster Center - ANSWER In some clustering ...
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ISYE 6501 Spring '23 Exam 1 QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 6 pages • 2023
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ISYE 6501 Spring 
'23 Exam 1 
QUESTIONS WITH 
100% SOLUTIONS 
LATEST UPDATE 
2023/2024 
What is modeling? - ANSWER Describing a real-life situation mathematically, analyzing 
the math and then turning the math back into a real-life situation. 
What is a data point? - ANSWER A row of data. All of the information about one 
observation. 
What are some (4) names for columns of data? - ANSWER Attributes, features, 
covariates, predictors 
Name some common types of structured data (5) - ANSWE...
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ISYE 6501 - Introduction to Analytics Weeks 1 – 7 Combined Frequent Exam Questions Correctly Answered
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ISYE 6501 - Introduction to 
Analytics Weeks 1 – 7 
Combined Frequent Exam 
Questions Correctly Answered 
Support Vector Machine (SVM) - ANSWER Supervised learning 
classification tool and algorithm that seeks a dividing hyperplane 
for any number of dimensions can be used for regression or 
classification. 
Margin of Error (SVM) - ANSWER A small margin for error 
reduces your chances of misclassifying known data points but 
increases your chances of misclassifying unknown data points. ...
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ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
- Exam (elaborations) • 3 pages • 2023
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ISYE 6501 - Final Prep – 
Midterm Questions With 
Correct Answers 
Types of classification models 
KNN 
SVM 
Types of Clustering Models 
K-Means Clustering 
Types of Response Prediction Models 
ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method 
Cross Validation 
Types of Variation Estimate Models 
GARCH 
Models that use Time Series Data 
ARIMA 
CUSUM
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learnin
- Exam (elaborations) • 7 pages • 2023
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ISYE 6501 Midterm 1 
QUESTIONS CORRECTLY 
ANSWERED LATEST UPDATE 
Support Vector Machine(SVM) is a supervised machine learning 
algorithm used for? - ANSWER Classification 
How to split the data if we only have one model? - ANSWER 
70% training data, 30% testing data 
How to split the data if we want to compare models? - ANSWER 
70% training, 15% validation and 15% testing 
When do we need to do scaling in data? - ANSWER When our 
factors/attributes/dimensions are orders of magnitude differe...
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ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 3 pages • 2023
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ISYE 6501 Exam 2 
QUESTIONS WITH 
100% VERIFIED 
SOLUTIONS LATEST 
UPDATE 2023/2024 
What are some of the consequences of outliers in k-means? - ANSWER It will drag the 
cluster center artificially to one side 
Because k-means is a heuristic and thus fast what can we do? - ANSWER run it 
several times choosing different clusters centers and choose the best one and we can 
choose different values of k 
How does bias/variance change as k changes in KNN? - ANSWER the higher the k, 
the high...
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ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
- Exam (elaborations) • 3 pages • 2023
-
Available in package deal
-
- $7.99
- + learn more
ISYE 6501 - Final Prep – 
Midterm Questions With 
Correct Answers 
Types of classification models 
KNN 
SVM 
Types of Clustering Models 
K-Means Clustering 
Types of Response Prediction Models 
ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method 
Cross Validation 
Types of Variation Estimate Models 
GARCH 
Models that use Time Series Data 
ARIMA 
CUSUM
-
ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE
- Exam (elaborations) • 7 pages • 2023
- Available in package deal
-
- $13.99
- + learn more
ISYE 6501 Midterm 1 
QUESTIONS CORRECTLY 
ANSWERED LATEST UPDATE 
Support Vector Machine(SVM) is a supervised machine learning 
algorithm used for? - ANSWER Classification 
How to split the data if we only have one model? - ANSWER 
70% training data, 30% testing data 
How to split the data if we want to compare models? - ANSWER 
70% training, 15% validation and 15% testing 
When do we need to do scaling in data? - ANSWER When our 
factors/attributes/dimensions are orders of magnitude differe...
-
ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
- Exam (elaborations) • 3 pages • 2023
- Available in package deal
-
- $10.99
- + learn more
ISYE 6501 - Final Prep – 
Midterm Questions With 
Correct Answers 
Types of classification models 
KNN 
SVM 
Types of Clustering Models 
K-Means Clustering 
Types of Response Prediction Models 
ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method 
Cross Validation 
Types of Variation Estimate Models 
GARCH 
Models that use Time Series Data 
ARIMA 
CUSUM 
GARCH 
Exponential Smoothing 
Do models tend to perform better or worse on ...
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