K means clustering Study guides, Class notes & Summaries

UGBA 104 Midterm Exam Questions and Answers 100% Verified calculate outliers IQR method - CORRECT ANSWER-IQR below; Q1 - 1.5 * IQR IQR above; Q3 + 1.5 * IQR how to calculate percentiles - CORRECT ANSWER-percentile (L) = (n+1) * P/100 calculate z score outlier - CORRECT ANSWER-(value-mean)/SD rule of thumb for z score outlier - CORRECT ANSWER-above or below 3 SDs away which outlier method is more lenient - CORRECT ANSWER-z score, it goes further from mean than the IQR method ie the IQR...

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 ...

ISYE 6501 Practice Test Questions With Correct Answers Algorithm - CORRECT ANSWER Step by step procedure designed to carry out a task Change Detection - CORRECT ANSWER Identifying when a significant change has taken place in a process. Classification - CORRECT ANSWER The separation of data into two or more categories or (a point's classification) the category a data point is put into Classifier - CORRECT ANSWER A bou...

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. ...

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...

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 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...

Rows - CORRECT ANSWER-Data points are values in data tables Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - CORRECT ANSWER-Text Support Vector Model - CORRECT ANSWER-Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problems by plotting each data item as a point in ndimens...

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 - 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 ...