The Python sklearn.neighbors.KDTree is a class in the scikit-learn library that represents a data structure called KD-tree. KD-tree is a binary tree structure that provides efficient searches for nearest neighbors in a k-dimensional space. It splits the space into axis-aligned hyperplanes and stores points in its leaves. This data structure enables fast lookups of nearest neighbors for given data points, making it useful for many machine learning and data analysis tasks such as clustering, classification, and anomaly detection. KDTree class in scikit-learn provides an implementation of this data structure, with various methods for constructing, querying, and manipulating KD-trees efficiently.
Python KDTree - 60 examples found. These are the top rated real world Python examples of sklearn.neighbors.KDTree extracted from open source projects. You can rate examples to help us improve the quality of examples.