Question 1

In k-means clustering, k represents the

Accepted Answer

A) number of variables. 
B) number of clusters. 
C) number of observations in a cluster. 
D) mean of the cluster. 
A) number of variables. 
B) number of clusters. 
C) number of observations in a cluster. 
D) mean of the cluster.

Question 2

The __________ the lift ratio, the __________ the association rule.

Accepted Answer

A) higher; stronger 
B) higher; weaker 
C) lower; stronger 
D) lower; weaker 
A) higher; stronger 
B) higher; weaker 
C) lower; stronger 
D) lower; weaker

Question 3

To identify patterns across transactions, we can use

Accepted Answer

A) association rules. 
B) complete linkage. 
C) centroid linkage. 
D) k-means. 
A) association rules. 
B) complete linkage. 
C) centroid linkage. 
D) k-means.

Question 4

A cluster's __________ can be measured by the difference between the distance value at which a cluster is originally formed and the distance value at which it is merged with another cluster in a dendrogram.

Accepted Answer

A) dimension 
B) affordability 
C) durability 
D) span 
A) dimension 
B) affordability 
C) durability 
D) span

In k-means clustering, k represents the

The the lift ratio, the the association rule.

To identify patterns across transactions, we can use

A cluster's __________ can be measured by the difference between the distance value at which a cluster is originally formed and the distance value at which it is merged with another cluster in a dendrogram.

Introduction

Descriptive Statistics

Data Visualization

Probability: an Introduction to Modeling Uncertainty

Statistical Inference

Linear Regression

Time Series Analysis and Forecasting

Predictive Data Mining

Spreadsheet Models

Monte Carlo Simulation

Linear Optimization Models

Integer Linear Optimization Models

Nonlinear Optimization Models

Decision Analysis

Filters

Exam 4: Descriptive Data Mining

In k-means clustering, k represents the

The __________ the lift ratio, the __________ the association rule.

To identify patterns across transactions, we can use

A cluster's __________ can be measured by the difference between the distance value at which a cluster is originally formed and the distance value at which it is merged with another cluster in a dendrogram.

Introduction

Descriptive Statistics

Data Visualization

Probability: an Introduction to Modeling Uncertainty

Statistical Inference

Linear Regression

Time Series Analysis and Forecasting

Predictive Data Mining

Spreadsheet Models

Monte Carlo Simulation

Linear Optimization Models

Integer Linear Optimization Models

Nonlinear Optimization Models

Decision Analysis

Filters

The the lift ratio, the the association rule.