= Structured kNN
{wiki=Structured_kNN}
Structured k-Nearest Neighbors (kNN) is an extension of the traditional k-Nearest Neighbors algorithm, which is commonly used for classification and regression tasks in machine learning. While standard kNN operates on point-based data, Structured kNN is designed to work with structured data types, such as sequences, trees, or graphs. This is particularly useful in domains where the data can be represented in a more complex format than simple feature vectors.
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