Types of Problems and Solutions

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What technique is used to group items by similarity?

Classification

Association Rules

Regression

Clustering (correct)

Which method is used to discover relationships between actions or items?

Linear Regression

Naïve Bayes

K-means clustering

Apriori (correct)

What is the purpose of Regression?

Determine relationship between outcome and input variables (correct)

Group items by similarity

Assign labels to objects

Discover relationships between actions or items

Which technique involves sorting items into groups by similarity?

Clustering Signup and view all the answers

What is the main goal of Cluster Analysis?

Minimize intra-cluster distances Signup and view all the answers

Which method finds similarities and relationships, but is not a predictive method?

Apriori Signup and view all the answers

Which type of clustering involves the concept of well-separated clusters?

Center-Based Clusters Signup and view all the answers

What is the center of a cluster often represented by in center-based clustering?

Average of all points in the cluster Signup and view all the answers

In K-Means Clustering, what is used to measure 'closeness' between points?

Minkowski Distance Signup and view all the answers

What is the complexity of the K-Means Clustering algorithm in terms of attributes?

$O(n * K * I * d)$ Signup and view all the answers

What is the stopping condition often used in K-Means Clustering?

'Until relatively few points change clusters' Signup and view all the answers

What is a common use case for K-Means Clustering?

Real-time data processing Signup and view all the answers

Types of Problems and Solutions

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Questions and Answers

What technique is used to group items by similarity?

Which method is used to discover relationships between actions or items?

What is the purpose of Regression?

Which technique involves sorting items into groups by similarity?

What is the main goal of Cluster Analysis?

Which method finds similarities and relationships, but is not a predictive method?

Which type of clustering involves the concept of well-separated clusters?

What is the center of a cluster often represented by in center-based clustering?

In K-Means Clustering, what is used to measure 'closeness' between points?

What is the complexity of the K-Means Clustering algorithm in terms of attributes?

What is the stopping condition often used in K-Means Clustering?

What is a common use case for K-Means Clustering?

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