Matches in SemOpenAlex for { <https://semopenalex.org/work/W3036760080> ?p ?o ?g. }
- W3036760080 endingPage "113736" @default.
- W3036760080 startingPage "113720" @default.
- W3036760080 abstract "Over the last decade, the advent of the cluster ensemble framework has enabled more accurate and robust data analysis than traditional single clustering algorithms. The improved clustering of microarray data has had a particularly strong impact in the fields of genomics and medicine. However, when we bring several ensemble members together to form a consensus, low-quality data partitions can seriously compromise the final solution. One way to overcome this problem is the weighted cluster ensemble approach based on Partition Relevance Analysis (PRA), which uses internal cluster validity indices to evaluate and weight the ensemble members before the fusion. Unfortunately, the selection of appropriate validation indices for given data is far from trivial. In this paper, we propose an additional step in PRA that reduces the size of the committee of cluster validation indices. It does so by eliminating redundant and noisy indices using data dimensionality reduction methods. Our extension works in an unsupervised way, minimizing the amount of user intervention and required expert knowledge. We adapted three conventional consensus functions based on the principle of evidence accumulation to work with PRA weights. We demonstrate the advantages of the proposed reduction step of PRA based on extensive experiments with 25 gene expression and 15 non-genetic real-world datasets, where we compared 15 consensus functions. The source code is available at https://github.com/nejci/PRAr." @default.
- W3036760080 created "2020-06-25" @default.
- W3036760080 creator A5089778831 @default.
- W3036760080 date "2020-01-01" @default.
- W3036760080 modified "2023-09-27" @default.
- W3036760080 title "Weighted Cluster Ensemble Based on Partition Relevance Analysis With Reduction Step" @default.
- W3036760080 cites W1128809682 @default.
- W3036760080 cites W1547480755 @default.
- W3036760080 cites W1560329957 @default.
- W3036760080 cites W1568671237 @default.
- W3036760080 cites W1599173567 @default.
- W3036760080 cites W1648123822 @default.
- W3036760080 cites W1697154133 @default.
- W3036760080 cites W1983494083 @default.
- W3036760080 cites W1985059878 @default.
- W3036760080 cites W1987971958 @default.
- W3036760080 cites W1988497044 @default.
- W3036760080 cites W1990368529 @default.
- W3036760080 cites W1996747841 @default.
- W3036760080 cites W2002767255 @default.
- W3036760080 cites W2006238684 @default.
- W3036760080 cites W2008788779 @default.
- W3036760080 cites W2011430131 @default.
- W3036760080 cites W2034331023 @default.
- W3036760080 cites W2034662733 @default.
- W3036760080 cites W2039849619 @default.
- W3036760080 cites W2042668621 @default.
- W3036760080 cites W2044386109 @default.
- W3036760080 cites W2051224630 @default.
- W3036760080 cites W2070964041 @default.
- W3036760080 cites W2086808754 @default.
- W3036760080 cites W2100022944 @default.
- W3036760080 cites W2108323654 @default.
- W3036760080 cites W2110878552 @default.
- W3036760080 cites W2122491887 @default.
- W3036760080 cites W2125027820 @default.
- W3036760080 cites W2130851950 @default.
- W3036760080 cites W2133098435 @default.
- W3036760080 cites W2139280638 @default.
- W3036760080 cites W2144419338 @default.
- W3036760080 cites W2146511318 @default.
- W3036760080 cites W2150796166 @default.
- W3036760080 cites W2158933803 @default.
- W3036760080 cites W2159452463 @default.
- W3036760080 cites W2165521059 @default.
- W3036760080 cites W2167101736 @default.
- W3036760080 cites W2170584976 @default.
- W3036760080 cites W2171975443 @default.
- W3036760080 cites W2467203645 @default.
- W3036760080 cites W2517968414 @default.
- W3036760080 cites W2538920018 @default.
- W3036760080 cites W2570942281 @default.
- W3036760080 cites W2605641866 @default.
- W3036760080 cites W2773599707 @default.
- W3036760080 cites W2791146007 @default.
- W3036760080 cites W2804498673 @default.
- W3036760080 cites W2900404321 @default.
- W3036760080 cites W2905804072 @default.
- W3036760080 cites W2910854613 @default.
- W3036760080 cites W2911627187 @default.
- W3036760080 cites W2941323067 @default.
- W3036760080 cites W2952171869 @default.
- W3036760080 cites W2963070829 @default.
- W3036760080 cites W2963174546 @default.
- W3036760080 cites W2963423929 @default.
- W3036760080 cites W2963891399 @default.
- W3036760080 cites W2964706104 @default.
- W3036760080 cites W2973369637 @default.
- W3036760080 cites W2991919977 @default.
- W3036760080 cites W2997412521 @default.
- W3036760080 cites W2999216937 @default.
- W3036760080 cites W3002515583 @default.
- W3036760080 cites W3010304971 @default.
- W3036760080 cites W3013023945 @default.
- W3036760080 cites W3121769020 @default.
- W3036760080 cites W4235169531 @default.
- W3036760080 cites W4242401062 @default.
- W3036760080 cites W632121358 @default.
- W3036760080 doi "https://doi.org/10.1109/access.2020.3003046" @default.
- W3036760080 hasPublicationYear "2020" @default.
- W3036760080 type Work @default.
- W3036760080 sameAs 3036760080 @default.
- W3036760080 citedByCount "7" @default.
- W3036760080 countsByYear W30367600802019 @default.
- W3036760080 countsByYear W30367600802021 @default.
- W3036760080 countsByYear W30367600802022 @default.
- W3036760080 countsByYear W30367600802023 @default.
- W3036760080 crossrefType "journal-article" @default.
- W3036760080 hasAuthorship W3036760080A5089778831 @default.
- W3036760080 hasBestOaLocation W30367600801 @default.
- W3036760080 hasConcept C111335779 @default.
- W3036760080 hasConcept C111442797 @default.
- W3036760080 hasConcept C114614502 @default.
- W3036760080 hasConcept C119857082 @default.
- W3036760080 hasConcept C124101348 @default.
- W3036760080 hasConcept C154945302 @default.
- W3036760080 hasConcept C158154518 @default.
- W3036760080 hasConcept C164866538 @default.