K means clustering - Study guides, Class notes & Summaries
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ISYE 6501 MIDTERM 1 VERIFIED EXAM TEST
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Matching models/methods to categories - CORRECT ANSWER-(cusum and pca = 
NONE) 
Select all of the following models that are designed for use with attribute/feature data 
(i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, 
logistic regression, linear regression, random forest, SVM's 
Classification models - CORRECT ANSWER-CART, k-nearest-neighbor, logistic 
regression, random forest, support vector machine 
Clustering - CORRECT ANSWER-k-means 
Response predictio...
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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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QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL
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QUESTIONS AND ANSWERS FOR ISYE 
6501 FINAL 
Support Vector Machine - CORRECT ANSWER-A supervised learning, classification 
model. Uses extremes, or identified points in the data from which margin vectors are 
placed against. The hyperplane between these vectors is the classifier 
SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of 
separation 
It is effective in high dimensional spaces. 
It is effective in cases where the number of dimensions is greater than the ...
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QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL
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Support Vector Machine - CORRECT ANSWER-A supervised learning, classification 
model. Uses extremes, or identified points in the data from which margin vectors are 
placed against. The hyperplane between these vectors is the classifier 
SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of 
separation 
It is effective in high dimensional spaces. 
It is effective in cases where the number of dimensions is greater than the number of 
samples. 
It uses a subset of tra...
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ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
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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
And that's how you make extra money
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ISYE 6501 MIDTERM 1 EXAM TEST
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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 MIDTERM 1 COMPLETE EXAM WITH UPGRADED QUESTIONS AND ANSWERS
- Exam (elaborations) • 20 pages • 2024
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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 MIDTERM 1 EXAM 1 TESTBANK LATEST 2022-2023 WITH QUESTIONS AND ANSWERS|A+GRADE
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ISYE 6501 MIDTERM 1 EXAM 1 TESTBANK LATEST 2022-2023 WITH QUESTIONS AND ANSWERS|A+GRADE 
 
Rows - ANSWER- Data points are values in data tables 
 
Columns - ANSWER- The 'answer' for each data point (response/outcome) 
 
Structured Data - ANSWER- Quantitative, Categorical, Binary, Unrelated, Time Series 
 
Unstructured Data - ANSWER- Text 
 
Support Vector Model - ANSWER- Supervised machine learning algorithm used for both classification and regression challenges. 
Mostly used in classificati...
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SRM EXAM STUDYGUIDE LATEST UPDATE
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SRM EXAM STUDYGUIDE LATEST UPDATE...
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CPV 301 Final Exam | Q & A (Complete Solutions)
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CPV 301 Final Exam | Q & A (Complete Solutions) The input of computer vision is an image. So what is the output of computer vision? A. The output is the interpretation of an image. B. The output is a processed image. C. The output is the image that has been recovered with the parts that have been noisy- D. All of the others What system does the digital camera use to perform the digitization of images? A. Number system. B. Logic system C. Sensor system D. Optical system In K-means for Segmentat...
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