In computer science, M-trees are tree data structures that are similar to R-trees and B-trees. It is constructed using a metric and relies on the triangle inequality for efficient range and k-nearest …

MTree is the core class that implements an m-tree. The data objects can be any object that are understood by the distance function. Some examples: * Data objects could be N-dimensional …

Jan 10, 2023 · The m-way search trees are multi-way trees which are generalised versions of binary trees where each node contains multiple elements. In an m-Way tree of order m, each …

Aug 9, 2001 · In this paper, we propose novel methods of continuous kNN join over dynamic high-dimensional data. We firstly propose the HDR+ Tree, which supports more efficient insertion, …

An M-Tree is an efficient access method for similarity search in metric spaces. It has better time complexity than other KNN algorithms. In practice, with a fast distance function, much simpler …

M-Tree (Metric Tree) is a powerful data structure for organizing and searching large datasets in metric spaces, enabling efficient similarity search and nearest neighbor queries.

This is an implementation of the M-tree, a data structure to find the element(s) the most similar to a given element. The M-tree is a tree based implementation of the concept of metric space ( …

In this article, we introduce a paged metric tree, called M-tree, which has been explicitly designed to be integrated with other access methods in database systems. We demonstrate such …

The M-tree is a dynamic data structure designed to index metric datasets. In this paper we introduce two dynamic techniques of building the M-tree. The first one incorporates a multi …

Mar 1, 2009 · The M-tree [6] represents a centralized, dynamic, and database-friendly MAM. Although there exist MAMs more efficient in querying performance, the M-tree (and its …