Unsupervised Learning

How do humans often learn without a teacher?

• by memorizing facts
• by finding patterns
• by receiving direct instructions
• by reading textbooks

In unsupervised learning the world around us is basically providing ___

• a teacher
• new algorithms
• vocabulary terms
• training labels

In the context of the video, what is an example of unsupervised learning in humans?

• reading a book
• learning to talk
• attending school
• watching and imitating

Unsupervised learning models the world by ___.

• following strict rules
• using labeled data
• mimicking human behavior
• guessing and checking

In unsupervised learning, the assumption that there are distinct groups in data is referred to as ___.

• labels
• averages
• properties
• clusters

What is the most basic assumption made in unsupervised clustering?

• distinct groups share properties
• algorithms are always accurate
• all data is irrelevant
• the world is random

What analogy is used to explain the concept of clustering in the video?

• organizing music by genre
• categorizing flowers by characteristics
• grouping animals by species
• sorting books in a library

The K-means clustering algorithm needs all of the following EXCEPT ___.

• a way to calculate averages
• a guess of how many clusters exist
• a way to compare observations
• labeled data for comparison

What is the first step in the K-means clustering algorithm as described in the video?

• calculating new averages
• correcting or learning from predictions
• measuring petal lengths and widths
• predicting the model

The initial guesses made by a model in K-means clustering are ___.

• based on previous models
• always accurate
• random
• derived from a large dataset