What is clustering in data mining?, Deleting duplicates, Sorting alphabetically, Grouping similar data, Encrypting files, Which type of learning is clustering?, Unsupervised learning, Reinforcement learning, Supervised learning, Transfer learning, What does a cluster contain?, Only numbers, Broken records, Random labels, Similar objects, Which algorithm is a clustering method?, Linear regression, K-means, Apriori, Quick sort, What does K in K-means represent?, Iteration limit, Number of clusters, Data size, Feature count, Which measure is often used for cluster similarity?, File type, Page count, Distance metric, Color depth, Which clustering method builds nested groups?, Hierarchical clustering, Naive Bayes, Association rules, Decision tree, What is an outlier in clustering?, Training label, Cluster center, Input feature, Unusual data point, What is the goal of clustering?, Compress images, Find natural groups, Remove all noise, Predict exact labels, Which plot helps visualize cluster quality?, Pie chart, Flowchart, Gantt chart, Silhouette plot

Clustering in Data Mining

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