What is the primary goal of clustering in machine learning?Answer areaPredicting continuous valuesClassifying data points into predefined categoriesGrouping similar data points togetherReducing the dimensionality of data
Question
What is the primary goal of clustering in machine learning?Answer areaPredicting continuous valuesClassifying data points into predefined categoriesGrouping similar data points togetherReducing the dimensionality of data
Solution
The primary goal of clustering in machine learning is grouping similar data points together. This is done by identifying the inherent structure in the data and organizing it into clusters, where each cluster contains data points that are similar to each other in some way. This can be useful in a variety of applications, such as customer segmentation, image segmentation, and anomaly detection.
Similar Questions
What is the primary goal of regression analysis?Answer areaClassify data pointsPredict continuous valuesGroup data points into clustersReduce dimensionality
What is the main goal of the k-means algorithm?Select one:a.To classify data into predefined categoriesb.To partition a dataset into a specified number of clustersc.To predict the value of a continuous target variabled.To discover patterns or relationships within a dataset
clustering and association in unsupervised machine learning
Which of the following is an advantage of clustering?Answer areaHigh interpretability of resultsRequires labeled data for trainingCan discover hidden patterns in data without supervisionSuitable for all types of data
Question 1The objective of k-means clustering is:1 pointSeparate dissimilar samples and group similar onesMinimize the cost function via gradient descentYield the highest out of sample accuracyMaximize the number of correctly classified data points
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