A novel framework for detecting maximally banded matrices in binary data.

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A novel framework for detecting maximally banded matrices in ...

onlinelibrary.wiley.com › doi › abs › sam

Sep 7, 2010 · A novel framework for detecting maximally banded matrices in binary data ... a novel framework for discovering banded structures is presented.

A novel framework for detecting maximally banded matrices in ...

dl.acm.org › doi › sam

Dec 1, 2010 · A novel framework for detecting maximally banded matrices in binary data. Authors: Faris Alqadah. Faris Alqadah. Department of Computer Science ...

Faris Alqadah | Semantic Scholar

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A novel framework for detecting maximally banded matrices in binary data · Faris AlqadahR. BhatnagarA. Jegga. Computer Science, Mathematics. Statistical ...

Faris Alqadah - DBLP

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Apr 25, 2024 · A novel framework for detecting maximally banded matrices in binary data. Stat. Anal. Data Min. 3(6): 431-445 (2010). [c5]. view. electronic ...

Faris Alqadah's research works | Johns Hopkins University and other ...

www.researchgate.net › Faris-Alqadah-7...

A novel framework for detecting maximally banded matrices in binary data · Article. December 2010. ·. 16 Reads. ·. 3 Citations. Statistical Analysis and Data ...

A biclustering algorithm for extracting bit-patterns from binary datasets

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A novel approach to extracting biclusters from binary datasets, BiBit, is introduced here. The results obtained from different experiments with synthetic data ...

Banded structure in binary matrices | Request PDF - ResearchGate

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Aug 16, 2024 · A novel framework for detecting maximally banded matrices in binary data. Article. Dec 2010; Stat Anal Data Min. Faris Alqadah · Raj ...

A binary biclustering algorithm based on the adjacency difference matrix ...

bmcbioinformatics.biomedcentral.com › ...

Sep 19, 2022 · In this paper, we propose a new biclustering algorithm called the Adjacency Difference Matrix Binary Biclustering algorithm (AMBB) for dealing with binary data ...

Detecting significant distinguishing sets among bi-clusters ...

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A novel framework for detecting maximally banded matrices in binary data · Mining Maximally Banded Matrices in Binary Data · Mining Emerging Patterns for Activity ...

Statistical Analysis and Data Mining - researchr journal

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Jegga. A novel framework for detecting maximally banded matrices in binary data ... A parametric mixture model for clustering multivariate binary data. 20 ...