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Data MiningCluster is (i) Group of similar objects that differ significantly from other objects (ii) Operations on a database to transform or simplify data in order to prepare it for a machine learning algorithm (iii) Symbolic representation of facts or ideas from which information can potentially be extracted (iv) None of the above20232mData MiningThe main goal of clustering is to: (i) Classify data into known categories (ii) Find hidden patterns in data (iii) Predict future values (iv) Group data points into clusters with high intra-group similarity and low inter-group similarity20242mData MiningClassification is a process of: (i) Assigning data to predefined classes (ii) Dividing data into clusters (iii) Summarizing data (iv) Cleaning data20252mData MiningExplain different basic clustering methods.20207m
PreviousThe output of KDD is (i) data (ii) information (iii) query (iv) useful informationNextBackground knowledge referred to (i) additional acquaintance used by a learning algorithm to facilitate the learning process (ii) a neural network that makes use of a hidden layer (iii) it is a form of automatic learning (iv) None of the above
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