Set partitioning in hierarchical trees (SPIHT) is an image compression algorithm that exploits the inherent similarities across the subbands in a wavelet...

In computer science, binary space partitioning (BSP) is a method for space partitioning which recursively subdivides a Euclidean space into two convex...

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to...

Tabatabai in 1988 (used in JPEG 2000 or JPEG XS ), the Binomial QMF developed by Ali Naci Akansu in 1990, the set partitioning in hierarchical trees (SPIHT)...

wavelet transform (1993), and set partitioning in hierarchical trees (SPIHT) developed by Amir Said with William A. Pearlman in 1996. The JPEG 2000 standard...

Recursively partitioning space using planes in this way produces a BSP tree, one of the most common forms of space partitioning. Space partitioning is particularly...

In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node...

using wavelets instead of a short-time Fourier transform Set partitioning in hierarchical trees Short-time Fourier transform Stationary wavelet transform...

to k-d trees. In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional...

compression: method used to compress images using fractals Set Partitioning in Hierarchical Trees (SPIHT) Wavelet compression: form of data compression well...

volume hierarchy (BVH) is a tree structure on a set of geometric objects. All geometric objects, which form the leaf nodes of the tree, are wrapped in bounding...

a quadtree by Raphael Finkel and J.L. Bentley in 1974. A similar partitioning is also known as a Q-tree. All forms of quadtrees share some common features:...

interval hierarchy (BIH) is a partitioning data structure similar to that of bounding volume hierarchies or kd-trees. Bounding interval hierarchies can be...

class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. More generally, the...

In mathematics, a graph partition is the reduction of a graph to a smaller graph by partitioning its set of nodes into mutually exclusive groups. Edges...

considerations. In 3D video games such as Quake, binary space partitioning (BSP) trees are heavily favored to minimize visibility tests. BSP trees, however,...

N=negative, T=ZeroTree, IZ=Izolated zero) S = subordinate pass; (R = back reconstructed value) Set partitioning in hierarchical trees (SPIHT) J.M. Shapiro...

at partitioning a set of objects into groups such that objects within the same group (called a cluster) exhibit greater similarity to one another (in some...

Rose tree These are data structures used for space partitioning or binary space partitioning. Segment tree Interval tree Range tree Bin K-d tree Implicit...

k-medoids is a classical partitioning technique of clustering that splits the data set of n objects into k clusters, where the number k of clusters assumed...

Mathematically it is a space partitioning: it consists of a set of non-empty regions that form a partition of the Earth's surface. In a usual grid-modeling strategy...

1993. Classification Trees in terms of the Classification Tree Method must not be confused with decision trees. The classification tree method consists of...

difficult to use, as it will usually produce a hierarchical clustering instead of the simple data partitioning that DBSCAN produces. Recently, one of the...

of treating sets as their own objects has existed since at least the Tree of Porphyry in 3rd-century AD. The simplicity and ubiquity of sets makes it hard...

subtree. In this way, most of the nodes in the tree are never read during a search. Like B-trees, R-trees are suitable for large data sets and databases...

then only the (multi-)set of weights in minimum spanning trees is certain to be unique; it is the same for all minimum spanning trees. If the weights are...

random partitions to be isolated, compared to normal points. Recursive partitioning can be represented by a tree structure named Isolation Tree, while...

super cluster splitting with relatively high speed. Unlike partitioning and hierarchical methods, density-based clustering algorithms are able to find...

rectangles. Treemaps display hierarchical (tree-structured) data as a set of nested rectangles. Each branch of the tree is given a rectangle, which is...

networks are highly hierarchical. Some intersections, for example highway junctions, are "more important" and higher up in the hierarchy than for example...