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Pyktree : a K-tree implementation in Python

Ulf, Großekathofer, De Vries, Christopher M., & Geva, Shlomo (2011) Pyktree : a K-tree implementation in Python.

Abstract

In this paper we present pyktree, an implementation of the K-tree algorithm in the Python programming language. The K-tree algorithm provides highly balanced search trees for vector quantization that scales up to very large data sets. Pyktree is highly modular and well suited for rapid-prototyping of novel distance measures and centroid representations. It is easy to install and provides a python package for library use as well as command line tools.

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170 since deposited on 04 Jul 2011
44 in the past twelve months

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ID Code: 42362
Item Type: Report
Additional Information: See additional URL to download software.
Additional URLs:
Keywords: K-tree, clustering, k-means, vector quantization, search tree
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Open Software (080306)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2011 please consult the authors
Deposited On: 04 Jul 2011 11:04
Last Modified: 05 Jul 2011 16:01

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