Angelos Markos

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unbiased mixed variables distance	2024	Michel van de Velden Alfonso Iodice D’Enza Angelos Markos Carlo Cavicchia
+ PDF Chat	A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data	2024	Efthymios Costa Ioanna Papatsouma Angelos Markos
+	A general framework for implementing distances for categorical variables	2024	Michel van de Velden Alfonso Iodice D’Enza Angelos Markos Carlo Cavicchia
+	Stability of Nonparametric Methods for Cognitive Diagnostic Assessment	2024	Angelos Markos Evripidis Themelis
+ PDF Chat	Unbiased mixed variables distance	2024	Michel van de Velden Alfonso Iodice D’Enza Angelos Markos Carlo Cavicchia
+	A general framework for implementing distances for categorical variables	2023	Michel van de Velden Alfonso Iodice D’Enza Angelos Markos Carlo Cavicchia
+ PDF Chat	A General Framework for Implementing Distances for Categorical Variables	2023	Michel van de Velden Alfonso Iodice D’Enza Angelos Markos Carlo Cavicchia
+	Principal component analysis	2022	Michael Greenacre Patrick J. F. Groenen Trevor Hastie Alfonso Iodice D’Enza Angelos Markos Elena Tuzhilina
+ PDF Chat	Benchmarking distance-based partitioning methods for mixed-type data	2022	Efthymios Costa Ioanna Papatsouma Angelos Markos
+ PDF Chat	Hierarchical clustering of mixed-type data based on barycentric coding	2022	Odysseas Moschidis Angelos Markos Theodore Chadjipadelis
+	Hierarchical clustering of mixed-type data based on barycentric coding	2022	Odysseas Moschidis Theodore Chadjipadelis Angelos Markos
+	Benchmarking distance-based partitioning methods for mixed-type data	2022	Efthymios Costa Ioanna Papatsouma Angelos Markos
+	A Fuzzy Coding Approach to Data Processing Using the Bar	2017	Angelos Markos
+ PDF Chat	The CHIC Analysis Software v1.0	2010	Angelos Markos Γεώργιος Μενεξές Iannis Papadimitriou

Common Coauthors

Coauthor	Papers Together
Alfonso Iodice D’Enza	6
Michel van de Velden	5
Carlo Cavicchia	5
Efthymios Costa	3
Ioanna Papatsouma	3
Odysseas Moschidis	2
Theodore Chadjipadelis	2
Iannis Papadimitriou	1
Elena Tuzhilina	1
Γεώργιος Μενεξές	1
Patrick J. F. Groenen	1
Michael Greenacre	1
Evripidis Themelis	1
Trevor Hastie	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Comparing partitions	1985	Lawrence J. Hubert Phipps Arabie	3
+	<b>FactoMineR</b>: An<i>R</i>Package for Multivariate Analysis	2008	Sébastien Lê Julie Josse François Husson	3
+ PDF Chat	Survey of State-of-the-Art Mixed Data Clustering Algorithms	2019	Amir Ahmad Shehroz S. Khan	2
+ PDF Chat	Local Optima in Mixture Modeling	2016	Emilie Shireman Douglas Steinley Michael J. Brusco	2
+ PDF Chat	Finite mixture models and model-based clustering	2010	Volodymyr Melnykov Ranjan Maitra	2
+	<b>MixSim</b>: An<i>R</i>Package for Simulating Data to Study Performance of Clustering Algorithms	2012	Volodymyr Melnykov Wei‐Chen Chen Ranjan Maitra	2
+	Biplots of fuzzy coded data	2011	Zerrin Aşan Michael Greenacre	2
+	Rotation of principal components: choice of normalization constraints	1995	Ian T. Jolliffe	1
+	A Comparison of Fourier Methods for the Description of Wing Shape in Mosquitoes (Diptera: Culicidae)	1984	F. James Rohlf James W. Archie	1
+	A principal component method to impute missing values for mixed data	2014	Vincent Audigier François Husson Julie Josse	1
+	Generalized procrustes analysis	1975	J. C. Gower	1
+ PDF Chat	Dynamic Functional Principal Components	2014	Siegfried Hörmann Łukasz Kidziński Marc Hallin	1
+ PDF Chat	Augmented GMRES‐type methods	2007	James Baglama Lothar Reichel	1
+	A comparison of three methods for principal component analysis of fuzzy interval data	2006	Paolo Giordani Henk A. L. Kiers	1
+ PDF Chat	Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory	2001	Brian W. Junker Klaas Sijtsma	1
+ PDF Chat	Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?	2014	Fionn Murtagh Pierre Legendre	1
+	Selecting the number of components in principal component analysis using cross-validation approximations	2011	Julie Josse François Husson	1
+	The Gifi system of descriptive multivariate analysis	1998	George Michailidis Jan de Leeuw	1
+ PDF Chat	Modern Multidimensional Scaling: Theory and Applications	2003	Ingwer Borg P.A.P. Groenen	1
+	Nonlinear principal components analysis: Introduction and application.	2007	Mariëlle Linting Jacqueline J. Meulman Patrick J. F. Groenen Anita J. van der Koojj	1
+	Principal component analysis	1987	Svante Wold Kim H. Esbensen Paul Geladi	1
+	Principal component models for sparse functional data	2000	Gareth James	1
+ PDF Chat	Comparison of hierarchical cluster analysis methods by cophenetic correlation	2013	Sinan Saraçlı Nurhan DOĞAN İsmet DOĞAN	1
+	Canonical correspondence analysis and related multivariate methods in aquatic ecology	1995	Cajo J. F. ter Braak P.F.M. Verdonschot	1
+	The biplot graphic display of matrices with application to principal component analysis	1971	K. R. Gabriel	1
+	Statistics and Computing	2005	David J. Hand	1
+ PDF Chat	A Modified Principal Component Technique Based on the LASSO	2003	Ian T. Jolliffe Nickolay T. Trendafilov Mudassir Uddin	1
+	An iteration method for the solution of the eigenvalue problem of linear differential and integral operators	1950	Cornelius Lanczos	1
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	1
+	Functional Principal Components Analysis by Choice of Norm	1999	F. Ocaña Ana M. Aguilera Mariano J. Valderrama	1
+	Redundancy analysis an alternative for canonical correlation analysis	1977	Arnold L. van den Wollenberg	1
+	Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection	2008	Philipp Auer Daniel Gervini	1
+	Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables	1991	Henk A. L. Kiers	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	Functional Data Analysis for Sparse Longitudinal Data	2005	Fang Yao Hans‐Georg Müller Jane-Ling Wang	1
+	How many principal components? stopping rules for determining the number of non-trivial axes revisited	2004	Pedro R. Peres‐Neto Donald A. Jackson Keith M. Somers	1
+	Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches	1993	Donald A. Jackson	1
+ PDF Chat	LIII. <i>On lines and planes of closest fit to systems of points in space</i>	1901	Karl Pearson	1
+	<b>missMDA</b>: A Package for Handling Missing Values in Multivariate Data Analysis	2016	Julie Josse François Husson	1
+	Principal component analysis for histogram-valued data	2016	Jennifer Le‐Rademacher Lynne Billard	1
+ PDF Chat	Randomized Matrix Decompositions Using <i>R</i>	2019	N. Benjamin Erichson Sergey Voronin Steven L. Brunton J. Nathan Kutz	1
+ PDF Chat	Pricing the C's of Diamond Stones	2001	Singfat Chu	1
+	Spatial functional principal component analysis with applications to brain image data	2018	Yingxing Li Chen Huang Wolfgang Karl Härdle	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+	Use and Misuse of PCA for Measuring Well-Being	2018	Matteo Mazziotta Adriano Pareto	1
+	Describing the concentration of income populations by functional principal component analysis on Lorenz curves	2018	Enea G. Bongiorno Aldo Goia	1
+	Multivariate Analysis of Ecological Data with ade4	2018	Jean Thioulouse Stéphane Dray Anne‐Béatrice Dufour Aurélie Siberchicot Thibaut Jombart Sandrine Pavoine	1
+	Consistency Theory for the General Nonparametric Classification Method	2019	Chia-Yi Chiu Hans-Friedrich Köhn	1
+ PDF Chat	All sparse PCA models are wrong, but some are useful. Part I: Computation of scores, residuals and explained variance	2019	José Camacho Age K. Smilde Edoardo Saccenti Johan A. Westerhuis	1
+	$e$PCA: High dimensional exponential family PCA	2018	Lydia T. Liu Edgar Dobriban Amit Singer	1