Francesco Palumbo
Zitiert von
Zitiert von
Principal component analysis of interval data: a symbolic data analysis approach
CN Lauro, F Palumbo
Computational statistics 15, 73-87, 2000
A PCA for interval-valued data based on midpoints and radii
F Palumbo, CN Lauro
New Developments in Psychometrics: Proceedings of the International Meeting …, 2003
Cluster Correspondence Analysis
M van de Velden, A Iodice D'Enza, F Palumbo
Psychometrika 82 (1), 2017
Interval archetypes: a new tool for interval data analysis
MR D'Esposito, F Palumbo, G Ragozini
Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (4 …, 2012
Iterative factor clustering of binary data
A Iodice D’Enza, F Palumbo
Computational Statistics 28 (2), 789-807, 2013
Factorial discriminant analysis on symbolic objects
NC Lauro, R Verde, F Palumbo
Analysis of Symbolic Data, 212-233, 2000
Principal component analysis for non-precise data
CN Lauro¹, F Palumbo
New Developments in Classification and Data Analysis: Proceedings of the …, 2005
Archetypal analysis for data‐driven prototype identification
G Ragozini, F Palumbo, MR D'Esposito
Statistical Analysis and Data Mining: The ASA Data Science Journal 10 (1), 6-20, 2017
Carnitine supplementation decreases capacitation-like changes of frozen-thawed buffalo spermatozoa
V Longobardi, A Salzano, G Campanile, R Marrone, F Palumbo, M Vitiello, ...
Theriogenology 88, 236-243, 2017
Promoting water intake. The persuasiveness of a messaging intervention based on anticipated negative affective reactions and self-monitoring
V Carfora, D Caso, F Palumbo, M Conner
Appetite 130, 236-246, 2018
Interval arithmetic for the evaluation of imprecise data effects in least squares linear regression
M Marino, F Palumbo
Statistica Applicata 14 (3), 277-291, 2002
Fuzzy PLS path modeling: A new tool for handling sensory data
F Palumbo, R Romano, V Esposito-Vinzi
Data Analysis, Machine Learning and Applications, 689-696, 2008
Archetypal analysis for interval data in marketing research
MR D’Esposito, F Palumbo, G Ragozini
Italian Journal of Applied Statistics 18, 343-358, 2006
Exploratory data analysis leading towards the most interesting simple association rules
A Iodice D’enza, F Palumbo, M Greenacre
Computational Statistics & Data Analysis 52 (6), 3269-3281, 2008
E-TAN, a technology-enhanced platform with tangible objects for the assessment of visual neglect: a multiple single-case study
A Cerrato, D Pacella, F Palumbo, D Beauvais, M Ponticorvo, O Miglino, ...
Neuropsychological Rehabilitation 31 (7), 1130-1144, 2021
Effect of consecutive re-synchronization protocols on pregnancy rate in buffalo (Bubalus bubalis) heifers out of the breeding season
G Neglia, M Capuano, A Balestrieri, R Cimmino, F Iannaccone, ...
Theriogenology 113, 120-126, 2018
Non‐symmetrical factorial discriminant analysis for symbolic objects
F Palumbo, R Verde
Applied Stochastic Models in Business and Industry 15 (4), 419-427, 1999
Factor probabilistic distance clustering (FPDC): a new clustering method
C Tortora, MG Summa, M Marino, F Palumbo
Advances in Data Analysis and Classification 10, 441-464, 2016
Multidimensional interval-data: metrics and factorial analysis
F Palumbo, A Irpino
Proceedings ASMDA 2005, 2005
Exploratory data analysis leading towards the most interesting binary association rules
A Iodice D’enza, F Palumbo, M Greenacre
The XIth International Symposium on Applied Stochastic Models and Data …, 2005
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