Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications
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9781493907410, 9781493907427

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Three and One Questions to Dr. B. Mirkin About Complexity Statistics

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_1 ◽

2014 ◽

pp. 1-9

Author(s):

Igor Mandel

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Nearest Neighbour in Least Squares Data Imputation Algorithms for Marketing Data

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_19 ◽

2014 ◽

pp. 313-330

Author(s):

Ito Wasito

Keyword(s):

Least Squares ◽

Nearest Neighbour ◽

Data Imputation ◽

Marketing Data

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Selecting the Minkowski Exponent for Intelligent K-Means with Feature Weighting

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_7 ◽

2014 ◽

pp. 103-117 ◽

Cited By ~ 1

Author(s):

Renato Cordeiro de Amorim ◽

Boris Mirkin

Keyword(s):

Feature Weighting

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A New Algorithm for Inferring Hybridization Events Based on the Detection of Horizontal Gene Transfers

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_17 ◽

2014 ◽

pp. 273-293

Author(s):

Vladimir Makarenkov ◽

Alix Boc ◽

Pierre Legendre

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Clustering as an Approach to 3D Reconstruction Problem

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_6 ◽

2014 ◽

pp. 91-102

Author(s):

Sergey Arkhangelskiy ◽

Ilya Muchnik

Keyword(s):

3D Reconstruction ◽

Reconstruction Problem

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High-Dimensional Data Classification

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_8 ◽

2014 ◽

pp. 119-150 ◽

Cited By ~ 10

Author(s):

Vijay Pappu ◽

Panos M. Pardalos

Keyword(s):

High Dimensional Data ◽

Data Classification ◽

High Dimensional

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A Pseudo-Boolean Approach to the Market Graph Analysis by Means of the p-Median Model

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_5 ◽

2014 ◽

pp. 77-89 ◽

Cited By ~ 2

Author(s):

Boris Goldengorin ◽

Anton Kocheturov ◽

Panos M. Pardalos

Keyword(s):

Graph Analysis ◽

Market Graph

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Experiments with a Non-convex Variance-Based Clustering Criterion

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_3 ◽

2014 ◽

pp. 51-62

Author(s):

Rodrigo F. Toso ◽

Evgeny V. Bauman ◽

Casimir A. Kulikowski ◽

Ilya B. Muchnik

Keyword(s):

Clustering Criterion

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Single or Multiple Consensus for Linear Orders

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_12 ◽

2014 ◽

pp. 189-199

Author(s):

Alain Guénoche

Keyword(s):

Linear Orders

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From Separating to Proximal Plane Classifiers: A Review

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications ◽

10.1007/978-1-4939-0742-7_10 ◽

2014 ◽

pp. 167-180 ◽

Cited By ~ 1

Author(s):

Maria Brigida Ferraro ◽

Mario Rosario Guarracino

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Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Three and One Questions to Dr. B. Mirkin About Complexity Statistics

Nearest Neighbour in Least Squares Data Imputation Algorithms for Marketing Data

Selecting the Minkowski Exponent for Intelligent K-Means with Feature Weighting

A New Algorithm for Inferring Hybridization Events Based on the Detection of Horizontal Gene Transfers

Clustering as an Approach to 3D Reconstruction Problem

High-Dimensional Data Classification

A Pseudo-Boolean Approach to the Market Graph Analysis by Means of the p-Median Model

Experiments with a Non-convex Variance-Based Clustering Criterion

Single or Multiple Consensus for Linear Orders

From Separating to Proximal Plane Classifiers: A Review

Clusters, Orders, and Trees: Methods and Applications - Springer Optimization and Its Applications
Latest Publications