Semi-supervised Probabilistic Distance Clustering and the Uncertainty of Classification

Advances in Data Analysis, Data Handling and Business Intelligence - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-642-01044-6_1 ◽

2009 ◽

pp. 3-20 ◽

Author(s):

Cem Iyigun ◽

Adi Ben-Israel

Keyword(s):

Probabilistic Distance

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k-Means, Ward and Probabilistic Distance-Based Clustering Methods with Contiguity Constraint

Journal of Classification ◽

10.1007/s00357-020-09370-5 ◽

2020 ◽

Author(s):

Andrzej Młodak

Keyword(s):

Clustering Methods ◽

Probabilistic Distance

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A Parametric Version of Probabilistic Distance Clustering

Statistical Learning of Complex Data - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-030-21140-0_4 ◽

2019 ◽

pp. 33-43

Author(s):

Christopher Rainey ◽

Cristina Tortora ◽

Francesco Palumbo

Keyword(s):

Probabilistic Distance ◽

Parametric Version

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Efficient feature-subset selection with probabilistic distance criteria

Information Sciences ◽

10.1016/s0020-0255(80)80021-1 ◽

1980 ◽

Vol 22 (1) ◽

pp. 19-35 ◽

Author(s):

C.B. Chittineni

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Probabilistic Distance

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Soft subspace clustering of categorical data with probabilistic distance

Pattern Recognition ◽

10.1016/j.patcog.2015.09.027 ◽

2016 ◽

Vol 51 ◽

pp. 322-332 ◽

Author(s):

Lifei Chen ◽

Shengrui Wang ◽

Kaijun Wang ◽

Jianping Zhu

Keyword(s):

Categorical Data ◽

Subspace Clustering ◽

Probabilistic Distance

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Smoothing Parameters Selection for Dimensionality Reduction Method based on Probabilistic Distance - Application to Handwritten Recognition

Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods ◽

10.5220/0004333503250330 ◽

2013 ◽

Keyword(s):

Dimensionality Reduction ◽

Reduction Method ◽

Parameters Selection ◽

Smoothing Parameters ◽

Selection For ◽

Probabilistic Distance ◽

Handwritten Recognition ◽

Dimensionality Reduction Method

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Probabilistic distance-based quantizer design for distributed estimation

EURASIP Journal on Advances in Signal Processing ◽

10.1186/s13634-016-0389-0 ◽

2016 ◽

Vol 2016 (1) ◽

Author(s):

Yoon Hak Kim

Keyword(s):

Distributed Estimation ◽

Probabilistic Distance

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On the relationship between the equivocation and other probabilistic distance measures used for feature selection

Proceedings of the IEEE ◽

10.1109/proc.1972.8855 ◽

1972 ◽

Vol 60 (9) ◽

pp. 1098-1099

Author(s):

C.C. Babu

Keyword(s):

Feature Selection ◽

Distance Measures ◽

Probabilistic Distance ◽

The Relationship

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Probabilistic Distance Clustering: A Spatial Clustering Approach for Remote Sensing Imagery

International Journal of Computer Applications ◽

10.5120/ijca2015906289 ◽

2015 ◽

Vol 126 (14) ◽

pp. 9-14 ◽

Author(s):

Y. Jayababu ◽

G.P.S. Varma ◽

A. Govardhan

Keyword(s):

Remote Sensing ◽

Spatial Clustering ◽

Remote Sensing Imagery ◽

Clustering Approach ◽

Probabilistic Distance

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Angular Correlation Function Estimators Accounting for Contamination from Probabilistic Distance Measurements

The Astrophysical Journal ◽

10.3847/1538-4357/ab63c8 ◽

2020 ◽

Vol 890 (1) ◽

pp. 78

Author(s):

Humna Awan ◽

Eric Gawiser

Keyword(s):

Correlation Function ◽

Angular Correlation ◽

Distance Measurements ◽

Angular Correlation Function ◽

Probabilistic Distance

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A Probabilistic Distance-Based Modeling and Analysis for Cellular Networks With Underlaying Device-to-Device Communications

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2016.2625301 ◽

2017 ◽

Vol 16 (1) ◽

pp. 451-463 ◽

Author(s):

Fei Tong ◽

Ying Wan ◽

Lei Zheng ◽

Jianping Pan ◽

Lin Cai

Keyword(s):

Cellular Networks ◽

Modeling And Analysis ◽

Device To Device ◽

Probabilistic Distance

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