43 research outputs found

    Gravier (2010) data set: Breast cancer study with 2 classes.

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    <p>Gravier (2010) data set: Breast cancer study with 2 classes.</p

    Yeoh (2002) data set: Leukemia study with 6 classes.

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    <p>Yeoh (2002) data set: Leukemia study with 6 classes.</p

    Pomeroy (2002) data set: CNS study with 4 classes.

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    <p>Pomeroy (2002) data set: CNS study with 4 classes.</p

    Two groups with sparse block diagonal structure (<i>ρ</i> = 0.5) and class-balance (<i>π</i><sub>1</sub> = 0.5).

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    <p>Two groups with sparse block diagonal structure (<i>ρ</i> = 0.5) and class-balance (<i>π</i><sub>1</sub> = 0.5).</p

    Three groups with class-imbalance (<i>π</i><sub>1</sub> = 0.4, <i>π</i><sub>2</sub> = 0.2, <i>π</i><sub>3</sub> = 0.4), sparse block diagonal structure (<i>ρ</i> = 0.5) and moderate mean difference (<i>γ</i> = 0.5).

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    <p>Three groups with class-imbalance (<i>π</i><sub>1</sub> = 0.4, <i>π</i><sub>2</sub> = 0.2, <i>π</i><sub>3</sub> = 0.4), sparse block diagonal structure (<i>ρ</i> = 0.5) and moderate mean difference (<i>γ</i> = 0.5).</p

    Characteristics of the real microarray data sets.

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    <p>Characteristics of the real microarray data sets.</p

    Two groups with dense block diagonal structure (<i>ρ</i> = 0.9) and class-imbalance (<i>π</i><sub>1</sub> = 0.8).

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    <p>Two groups with dense block diagonal structure (<i>ρ</i> = 0.9) and class-imbalance (<i>π</i><sub>1</sub> = 0.8).</p

    Ramaswamy (2001) data set: Cancer study with 14 classes.

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    <p>Ramaswamy (2001) data set: Cancer study with 14 classes.</p

    Two groups with dense block diagonal structure (<i>ρ</i> = 0.9) and class-balance (<i>π</i><sub>1</sub> = 0.5).

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    <p>Two groups with dense block diagonal structure (<i>ρ</i> = 0.9) and class-balance (<i>π</i><sub>1</sub> = 0.5).</p

    Effect of data normalization on fuzzy clustering of DNA microarray data-4

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    <p><b>Copyright information:</b></p><p>Taken from "Effect of data normalization on fuzzy clustering of DNA microarray data"</p><p>BMC Bioinformatics 2006;7():134-134.</p><p>Published online 14 Mar 2006</p><p>PMCID:PMC1431564.</p><p>Copyright © 2006 Kim et al; licensee BioMed Central Ltd.</p> clustering for FCM and PAM clustering in serum and sporulation datasets. For each dataset, upside line of figure indicates the original clustering and the downside line indicates the noisy data clustering, and first and second columns are the results of FCM clustering and others two are the results of PAM clustering. The axis indicates the number of clusters, and axis indicates the values of data points (a) Serum data (b) sporulation data
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