Classification of Asymmetric Proximity Data

Donatella Vicari

doi:10.1007/s00357-014-9159-6

Classification of Asymmetric Proximity Data

Journal of Classification ◽

10.1007/s00357-014-9159-6 ◽

2014 ◽

Vol 31 (3) ◽

pp. 386-420 ◽

Cited By ~ 5

Author(s):

Donatella Vicari

Keyword(s):

Proximity Data ◽

Asymmetric Proximity

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A mixture model for the classification of three-way proximity data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2005.02.007 ◽

2006 ◽

Vol 50 (7) ◽

pp. 1625-1654 ◽

Cited By ~ 6

Author(s):

Laura Bocci ◽

Donatella Vicari ◽

Maurizio Vichi

Keyword(s):

Mixture Model ◽

Proximity Data

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Generic probabilistic prototype based classification of vectorial and proximity data

Neurocomputing ◽

10.1016/j.neucom.2014.12.002 ◽

2015 ◽

Vol 154 ◽

pp. 208-216 ◽

Cited By ~ 4

Author(s):

Frank-Michael Schleif

Keyword(s):

Proximity Data

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Methods for the Analysis of Asymmetric Proximity Data

10.1007/978-981-16-3172-6 ◽

2021 ◽

Author(s):

Giuseppe Bove ◽

Akinori Okada ◽

Donatella Vicari

Keyword(s):

Proximity Data ◽

Asymmetric Proximity

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Median Variants of Prototype Based Learning Vector Quantization: Methods for Classification of General Proximity Data

10.33612/diss.135377546 ◽

2020 ◽

Author(s):

◽

David Nebel

Keyword(s):

Vector Quantization ◽

Learning Vector Quantization ◽

Proximity Data

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A clustering method for asymmetric proximity data based on bi-links with ε-indiscernibility

2011 IEEE International Conference on Granular Computing ◽

10.1109/grc.2011.6122601 ◽

2011 ◽

Author(s):

Shoji Hirano ◽

Shusaku Tsumoto

Keyword(s):

Clustering Method ◽

Proximity Data ◽

Asymmetric Proximity

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Hierarchical clustering of asymmetric proximity data based on the indiscernibility-level

2008 IEEE International Conference on Granular Computing ◽

10.1109/grc.2008.4664761 ◽

2008 ◽

Author(s):

Shoji Hirano ◽

Shusaku Tsumoto

Keyword(s):

Hierarchical Clustering ◽

Proximity Data ◽

Asymmetric Proximity

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Numerical classification of proximity data with assignment measures

Journal of Classification ◽

10.1007/bf01908073 ◽

1985 ◽

Vol 2 (1) ◽

pp. 157-172 ◽

Cited By ~ 81

Author(s):

Michael P. Windham

Keyword(s):

Numerical Classification ◽

Proximity Data

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A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research

Marketing Science ◽

10.1287/mksc.11.1.1 ◽

1992 ◽

Vol 11 (1) ◽

pp. 1-20 ◽

Cited By ~ 40

Author(s):

Wayne S. Desarbo ◽

Ajay K. Manrai

Keyword(s):

Multidimensional Scaling ◽

Marketing Research ◽

Proximity Data ◽

Asymmetric Proximity

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Vector field representation of asymmetric proximity data

Communication in Statistics- Theory and Methods ◽

10.1080/03610929908832281 ◽

1999 ◽

Vol 28 (1) ◽

pp. 35-48 ◽

Cited By ~ 3

Author(s):

Hiroshi Yadohisa ◽

Naoto Niki

Keyword(s):

Vector Field ◽

Field Representation ◽

Proximity Data ◽

Asymmetric Proximity

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Note on the spectral classification of carbon stars in the photographic infrared region

Symposium - International Astronomical Union ◽

10.1017/s0074180900053080 ◽

1966 ◽

Vol 24 ◽

pp. 21-23

Author(s):

Y. Fujita

Keyword(s):

Infrared Region ◽

Spectral Classification ◽

Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

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