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Thus, a step-by-step pipeline is introduced which couples ensemble clustering with ensemble classification for the identification of core groups, data ...
The proposed pipeline is employed on a novel real world breast cancer dataset and multiple standard datasets from UCI. •. The results show that by using the ...
Recent studies have used an ensemble of multiple clustering algorithms to elucidate the most characteristic biological groups of breast cancer. However, the ...
May 16, 2019 · Recent studies have used an ensemble of multiple clustering algorithms to elucidate the most characteristic biological groups of breast cancer.
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May 13, 2019 · 2019, 'Combining Clustering and Classification Ensembles: A Novel Pipeline to Identify Breast Cancer. Profiles', Artificial Intelligence in ...
Dive into the research topics of 'Combining clustering and classification ensembles: a novel pipeline to identify breast cancer profiles'. Together they form a ...
Recent studies have used an ensemble of multiple clustering algorithms to elucidate the most characteristic biological groups of breast cancer. However, the ...
May 15, 2019 · Recent studies have used an ensemble of multiple clustering algorithms to elucidate the most characteristic biological groups of breast cancer.
Combining Clustering and Classification Ensembles: A Novel Pipeline to Identify Breast Cancer Profiles. Utkarsh Agrawal, Daniele Soria, Christian Wagner ...
Fingerprint. Dive into the research topics of 'Combining clustering and classification ensembles: a novel pipeline to identify breast cancer profiles'.