Which of the following are TRUE? > Unsupervised Learning

[izxi]

Which of the following are TRUE?

Select one or more:

• [ ] - A. Unsupervised learning is a type of machine learning without monitoring by a researcher
• [ ] - B. Unsupervised learning is a type of machine learning from data without a target variable
• [x] - C. Cluster analysis is a most commonly used unsurpervised learning method
• [x] - D. Unsupervised learning is a type of machine learning from data without labeled responses

[izxi]

Unsupervised learning

Machine learning technique for finding hidden patterns or intrinsic structures in data Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses.

The most common unsupervised learning method is cluster analysis, which is used for exploratory data analysis to find hidden patterns or grouping in data. The clusters are modeled using a measure of similarity which is defined upon metrics such as Euclidean or probabilistic distance.

Common clustering algorithms include:

• Hierarchical clustering: builds a multilevel hierarchy of clusters by creating a cluster tree
• k-Means clustering: partitions data into k distinct clusters based on distance to the centroid of a cluster
• Gaussian mixture models: models clusters as a mixture of multivariate normal density components
• Self-organizing maps: uses neural networks that learn the topology and distribution of the data
• Hidden Markov models: uses observed data to recover the sequence of states

Unsupervised learning methods are used in bioinformatics for sequence analysis and genetic clustering; in data mining for sequence and pattern mining; in medical imaging for image segmentation; and in computer vision for object recognition.

[johnnieng]

• B. Unsupervised learning is a type of machine learning from data without a target variable
• C. Cluster analysis is a most commonly used unsupervised learning method
• D. Unsupervised learning is a type of machine learning from data without labeled responses *

[iaminebriki]

Answer: B, C, D Unsupervised Learning Compared to supervised learning, unsupervised learning operates upon only the input data without outputs or target variables. As such, unsupervised learning does not have a teacher correcting the model, as in the case of supervised learning.