4 datasets found
  1. o

    ELKI Multi-View Clustering Data Sets Based on the Amsterdam Library of...

    • explore.openaire.eu
    • elki-project.github.io
    • +2more
    Updated Jun 30, 2010
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    Erich Schubert; Arthur Zimek (2010). ELKI Multi-View Clustering Data Sets Based on the Amsterdam Library of Object Images (ALOI) [Dataset]. http://doi.org/10.5281/zenodo.6355683
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    Dataset updated
    Jun 30, 2010
    Authors
    Erich Schubert; Arthur Zimek
    Area covered
    Amsterdam
    Description

    These data sets were originally created for the following publications: M. E. Houle, H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? In Proceedings of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010. H.-P. Kriegel, E. Schubert, A. Zimek Evaluation of Multiple Clustering Solutions In 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with ECML PKDD 2011, Athens, Greece, 2011. The outlier data set versions were introduced in: E. Schubert, R. Wojdanowski, A. Zimek, H.-P. Kriegel On Evaluation of Outlier Rankings and Outlier Scores In Proceedings of the 12th SIAM International Conference on Data Mining (SDM), Anaheim, CA, 2012. They are derived from the original image data available at https://aloi.science.uva.nl/ The image acquisition process is documented in the original ALOI work: J. M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders, The Amsterdam library of object images, Int. J. Comput. Vision, 61(1), 103-112, January, 2005 Additional information is available at: https://elki-project.github.io/datasets/multi_view The following views are currently available: Feature type Description Files Object number Sparse 1000 dimensional vectors that give the true object assignment objs.arff.gz RGB color histograms Standard RGB color histograms (uniform binning) aloi-8d.csv.gz aloi-27d.csv.gz aloi-64d.csv.gz aloi-125d.csv.gz aloi-216d.csv.gz aloi-343d.csv.gz aloi-512d.csv.gz aloi-729d.csv.gz aloi-1000d.csv.gz HSV color histograms Standard HSV/HSB color histograms in various binnings aloi-hsb-2x2x2.csv.gz aloi-hsb-3x3x3.csv.gz aloi-hsb-4x4x4.csv.gz aloi-hsb-5x5x5.csv.gz aloi-hsb-6x6x6.csv.gz aloi-hsb-7x7x7.csv.gz aloi-hsb-7x2x2.csv.gz aloi-hsb-7x3x3.csv.gz aloi-hsb-14x3x3.csv.gz aloi-hsb-8x4x4.csv.gz aloi-hsb-9x5x5.csv.gz aloi-hsb-13x4x4.csv.gz aloi-hsb-14x5x5.csv.gz aloi-hsb-10x6x6.csv.gz aloi-hsb-14x6x6.csv.gz Color similiarity Average similarity to 77 reference colors (not histograms) 18 colors x 2 sat x 2 bri + 5 grey values (incl. white, black) aloi-colorsim77.arff.gz (feature subsets are meaningful here, as these features are computed independently of each other) Haralick features First 13 Haralick features (radius 1 pixel) aloi-haralick-1.csv.gz Front to back Vectors representing front face vs. back faces of individual objects front.arff.gz Basic light Vectors indicating basic light situations light.arff.gz Manual annotations Manually annotated object groups of semantically related objects such as cups manual1.arff.gz Outlier Detection Versions Additionally, we generated a number of subsets for outlier detection: Feature type Description Files RGB Histograms Downsampled to 100000 objects (553 outliers) aloi-27d-100000-max10-tot553.csv.gz aloi-64d-100000-max10-tot553.csv.gz Downsampled to 75000 objects (717 outliers) aloi-27d-75000-max4-tot717.csv.gz aloi-64d-75000-max4-tot717.csv.gz Downsampled to 50000 objects (1508 outliers) aloi-27d-50000-max5-tot1508.csv.gz aloi-64d-50000-max5-tot1508.csv.gz

  2. f

    The AICr column reports the average L1 distance while other reports the...

    • plos.figshare.com
    xls
    Updated May 1, 2024
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    Sahika Gokmen; Johan Lyhagen (2024). The AICr column reports the average L1 distance while other reports the relative L1 distances compared to AICr. [Dataset]. http://doi.org/10.1371/journal.pone.0289822.t002
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    xlsAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sahika Gokmen; Johan Lyhagen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The AICr column reports the average L1 distance while other reports the relative L1 distances compared to AICr.

  3. f

    The AICr column reports the average Hellinger distance while other reports...

    • plos.figshare.com
    xls
    Updated May 1, 2024
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    Sahika Gokmen; Johan Lyhagen (2024). The AICr column reports the average Hellinger distance while other reports the relative Hellinger distances compared to AICr. [Dataset]. http://doi.org/10.1371/journal.pone.0289822.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 1, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sahika Gokmen; Johan Lyhagen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The AICr column reports the average Hellinger distance while other reports the relative Hellinger distances compared to AICr.

  4. f

    Correlation coefficients between ADC and MD histogram parameters (n denotes...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
    + more versions
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    Bence Gunda; Raphael Porcher; Marco Duering; Jean-Pierre Guichard; Jerome Mawet; Eric Jouvent; Martin Dichgans; Hugues Chabriat (2023). Correlation coefficients between ADC and MD histogram parameters (n denotes the number of scans); all p-values are less than 0.0001 [Dataset]. http://doi.org/10.1371/journal.pone.0097173.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bence Gunda; Raphael Porcher; Marco Duering; Jean-Pierre Guichard; Jerome Mawet; Eric Jouvent; Martin Dichgans; Hugues Chabriat
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Values of 0.935* and 0.779** after removal of two outliers.

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Erich Schubert; Arthur Zimek (2010). ELKI Multi-View Clustering Data Sets Based on the Amsterdam Library of Object Images (ALOI) [Dataset]. http://doi.org/10.5281/zenodo.6355683

ELKI Multi-View Clustering Data Sets Based on the Amsterdam Library of Object Images (ALOI)

Explore at:
26 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 30, 2010
Authors
Erich Schubert; Arthur Zimek
Area covered
Amsterdam
Description

These data sets were originally created for the following publications: M. E. Houle, H.-P. Kriegel, P. Kröger, E. Schubert, A. Zimek Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? In Proceedings of the 22nd International Conference on Scientific and Statistical Database Management (SSDBM), Heidelberg, Germany, 2010. H.-P. Kriegel, E. Schubert, A. Zimek Evaluation of Multiple Clustering Solutions In 2nd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings Held in Conjunction with ECML PKDD 2011, Athens, Greece, 2011. The outlier data set versions were introduced in: E. Schubert, R. Wojdanowski, A. Zimek, H.-P. Kriegel On Evaluation of Outlier Rankings and Outlier Scores In Proceedings of the 12th SIAM International Conference on Data Mining (SDM), Anaheim, CA, 2012. They are derived from the original image data available at https://aloi.science.uva.nl/ The image acquisition process is documented in the original ALOI work: J. M. Geusebroek, G. J. Burghouts, and A. W. M. Smeulders, The Amsterdam library of object images, Int. J. Comput. Vision, 61(1), 103-112, January, 2005 Additional information is available at: https://elki-project.github.io/datasets/multi_view The following views are currently available: Feature type Description Files Object number Sparse 1000 dimensional vectors that give the true object assignment objs.arff.gz RGB color histograms Standard RGB color histograms (uniform binning) aloi-8d.csv.gz aloi-27d.csv.gz aloi-64d.csv.gz aloi-125d.csv.gz aloi-216d.csv.gz aloi-343d.csv.gz aloi-512d.csv.gz aloi-729d.csv.gz aloi-1000d.csv.gz HSV color histograms Standard HSV/HSB color histograms in various binnings aloi-hsb-2x2x2.csv.gz aloi-hsb-3x3x3.csv.gz aloi-hsb-4x4x4.csv.gz aloi-hsb-5x5x5.csv.gz aloi-hsb-6x6x6.csv.gz aloi-hsb-7x7x7.csv.gz aloi-hsb-7x2x2.csv.gz aloi-hsb-7x3x3.csv.gz aloi-hsb-14x3x3.csv.gz aloi-hsb-8x4x4.csv.gz aloi-hsb-9x5x5.csv.gz aloi-hsb-13x4x4.csv.gz aloi-hsb-14x5x5.csv.gz aloi-hsb-10x6x6.csv.gz aloi-hsb-14x6x6.csv.gz Color similiarity Average similarity to 77 reference colors (not histograms) 18 colors x 2 sat x 2 bri + 5 grey values (incl. white, black) aloi-colorsim77.arff.gz (feature subsets are meaningful here, as these features are computed independently of each other) Haralick features First 13 Haralick features (radius 1 pixel) aloi-haralick-1.csv.gz Front to back Vectors representing front face vs. back faces of individual objects front.arff.gz Basic light Vectors indicating basic light situations light.arff.gz Manual annotations Manually annotated object groups of semantically related objects such as cups manual1.arff.gz Outlier Detection Versions Additionally, we generated a number of subsets for outlier detection: Feature type Description Files RGB Histograms Downsampled to 100000 objects (553 outliers) aloi-27d-100000-max10-tot553.csv.gz aloi-64d-100000-max10-tot553.csv.gz Downsampled to 75000 objects (717 outliers) aloi-27d-75000-max4-tot717.csv.gz aloi-64d-75000-max4-tot717.csv.gz Downsampled to 50000 objects (1508 outliers) aloi-27d-50000-max5-tot1508.csv.gz aloi-64d-50000-max5-tot1508.csv.gz

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