In data mining, which algorithm is typically used for classification tasks?
- Apriori Algorithm
- Decision Trees
- K-Means Clustering
- Linear Regression
Decision Trees are commonly used for classification tasks in data mining. They recursively split the data based on features to classify instances into different classes or categories. K-Means Clustering is used for clustering, Linear Regression for regression, and Apriori Algorithm for association rule mining.
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