The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
On-Line Analytical Processing (OLAP) technologies are being used widely, but the lack of effective means of handling data imprecision, which occurs when exact values are not known...
Torben Bach Pedersen, Christian S. Jensen, Curtis ...
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
-- Reuse of large-grain software components offers the potential for significant savings in application development cost and time. Successful component reuse and substitutability ...
Nenad Medvidovic, Peyman Oreizy, Richard N. Taylor
We introduce a hierarchical partitioning scheme of the Euclidean plane, called circular partitions. Such a partition consists of a hierarchy of convex polygons, each having small ...