DOI: 10.5281/zenodo.6355684
title: ELKI Multi-View Clustering Data Sets Based on the Amsterdam Library of Object Images (ALOI)

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