HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
Suggested Answer:
Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset Regression is a machine learning task that is used to predict the value of the label from a set of related features. Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks
3 : No - Classification : it has predefined labels (mild. moderate, sever) and it is supervised
see e.g. https://www.geeksforgeeks.org/ml-classification-vs-clustering/
correct answer.
Clustering is a data mining technique for grouping unlabeled data based on their similarities or differences. For example, K-means clustering algorithms assign similar data points into groups, where the K value represents the size of the grouping and granularity. This technique is helpful for market segmentation, image compression, etc.
https://www.ibm.com/cloud/blog/supervised-vs-unsupervised-learning
K-means can be used for a variety of machine learning tasks, such as detecting abnormal data, clustering of text documents, and analysis of a dataset prior to using other classification or regression methods.
Ref: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/k-means-clustering
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