Chameleon 2: An Improved Graph-Based Clustering Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F19%3A00502857" target="_blank" >RIV/68378050:_____/19:00502857 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/19:00328346
Result on the web
<a href="http://dx.doi.org/10.1145/3299876" target="_blank" >http://dx.doi.org/10.1145/3299876</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3299876" target="_blank" >10.1145/3299876</a>

Result language
angličtina
Original language name
Chameleon 2: An Improved Graph-Based Clustering Algorithm
Original language description
Traditional clustering algorithms fail to produce human-like results when confronted with data of variable density, complex distributions, or in the presence of noise. We propose an improved graph-based clustering algorithm called Chameleon 2, which overcomes several drawbacks of state-of-the-art clustering approaches. We modified the internal cluster quality measure and added an extra step to ensure algorithm robustness. Our results reveal a significant positive impact on the clustering quality measured by Normalized Mutual Information on 32 artificial datasets used in the clustering literature. This significant improvement is also confirmed on real-world datasets.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/LO1220" target="_blank" >LO1220: CZ-OPENSCREEN: National infrastructure for chemical biology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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