About: The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene in dependence on the available compressors. Using the CompLearn Toolkit, the built-in compressors zlib and bzip2 are compared. Moreover, a comparison is made with respect to hierarchical and spectral clustering. For the hierarchical clustering, hclust from the R package is used, and the spectral clustering is done via the kLine algorithm proposed by Fischer and Poland (2004). Our results are very promising and show that one can obtain an (almost) perfect clustering. It turned out that the zlib compressor allowed for better results than the bzip2 compressor and, if all data are concerned, then hierarchical clustering is a bit better than spectral clustering via kLines.

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene in dependence on the available compressors. Using the CompLearn Toolkit, the built-in compressors zlib and bzip2 are compared. Moreover, a comparison is made with respect to hierarchical and spectral clustering. For the hierarchical clustering, hclust from the R package is used, and the spectral clustering is done via the kLine algorithm proposed by Fischer and Poland (2004). Our results are very promising and show that one can obtain an (almost) perfect clustering. It turned out that the zlib compressor allowed for better results than the bzip2 compressor and, if all data are concerned, then hierarchical clustering is a bit better than spectral clustering via kLines. Goto Sponge NotDistinct Permalink

An Entity of Type : fabio:Abstract, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	abstract
value	The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene in dependence on the available compressors. Using the CompLearn Toolkit, the built-in compressors zlib and bzip2 are compared. Moreover, a comparison is made with respect to hierarchical and spectral clustering. For the hierarchical clustering, hclust from the R package is used, and the spectral clustering is done via the kLine algorithm proposed by Fischer and Poland (2004). Our results are very promising and show that one can obtain an (almost) perfect clustering. It turned out that the zlib compressor allowed for better results than the bzip2 compressor and, if all data are concerned, then hierarchical clustering is a bit better than spectral clustering via kLines.
subject	Cloning Orthomyxoviridae Genes Molecular biology Virus families Statistical distance Free software programmed in C Unix archivers and compression-related utilities Lossless compression algorithms Cross-platform software 1995 software 1996 software Software using the zlib license Archive formats C libraries Free data compression software
part of	Clustering the Normalized Compression Distance for Influenza Virus Data
is abstract of	Clustering the Normalized Compression Distance for Influenza Virus Data
is hasSource of	covid:ann/target/c599cf0d1162b10c3898788cc3a6f01e56f01ffa covid:ann/target/b8ed6ed880e464e0e21e2dd4549fc339332d5bbd covid:ann/target/a7a5addee1f9c5338367ec605861c354d0e3bb75 covid:ann/target/2f9f588d1a21e6f30131bca4cfbcbb7dc7c86757 covid:ann/target/5998207948c6fe283e9359b836a9ccbaeb414c5e covid:ann/target/bcedb500d305c9ebe26d2432456442a1f8d15377 covid:ann/target/40f6236b2357632ae881d270c6d1088273e6e219 covid:ann/target/af4db38b02d217127107dc9f73a06f6809d74003 covid:ann/target/4f41707d5f7350d5a349a69c68c802d11a806c77 covid:ann/target/3ba90d887ace2cf2af57ffa2cd29f1ac8317d5a2 covid:ann/target/a98b61fd75b6f61895c92b9266155c37ca3c43af covid:ann/target/c86376fcfdff4fedaf53c290ce25a7c7028424bd covid:ann/target/b8c165de60d7f3896a117f870f3f941c13cea105 covid:ann/target/67ffb969804ca60cf34a324533930fb72a38c33c covid:ann/target/a6dce4d304b6651526c247e09e0b0c89607f065d covid:ann/target/26e0b5831775a20437a8e4872912b9bc8c75b44e

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software