Data Mining Algorithms - Classification and Clustering: Reviewing data mining algorithms for classification and clustering tasks, including decision trees, k-means, and DBSCAN
Keywords:
Data Mining, ClassificationAbstract
Data mining algorithms play a crucial role in extracting valuable insights from large datasets. Among these algorithms, classification and clustering algorithms are widely used for organizing and categorizing data. This paper provides a comprehensive review of data mining algorithms for classification and clustering tasks, focusing on three main algorithms: decision trees, k-means, and DBSCAN. We discuss the principles behind these algorithms, their applications, strengths, and limitations. Additionally, we explore recent advancements and challenges in the field of data mining for classification and clustering.
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