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Module 4: Analytics Theory/Methods 1 - Problem Solving Techniques

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Module 4: Analytics Theory/Methods 1 - Problem Solving Techniques

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Questions and Answers

What type of problem does clustering aim to solve?

Determining the relationship between outcome and input variables

Grouping items by similarity (correct)

Assigning labels to objects

Discovering relationships between actions

Which technique is used to find structure or commonalities in data?

Regression

Clustering (correct)

Association Rules

Classification

What is the primary goal of cluster analysis?

Maximize inter-cluster distances

Minimize intra-cluster distances (correct)

Group unrelated objects together

Maximize intra-cluster distances

In K-means clustering, how are items grouped?

Based on similarity Signup and view all the answers

What distinguishes clustering from predictive methods?

It finds similarities and relationships Signup and view all the answers

Which technique is suitable for assigning known labels to objects?

Naïve Bayes Signup and view all the answers

What is the main characteristic of center-based clusters?

Objects in a cluster are closer to the center of that cluster than to any other cluster's center Signup and view all the answers

What does the centroid represent in a cluster?

The average of all points in the cluster Signup and view all the answers

Which distance metric is commonly used in K-means clustering?

Minkowski distance Signup and view all the answers

What is a key requirement for using K-means clustering on data?

The number of clusters (K) must be specified Signup and view all the answers

Why do clusters produced by K-means vary from one run to another?

Because centroids are calculated differently each time Signup and view all the answers

What complexity is associated with K-means clustering?

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