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Cristina Tortora
Cristina Tortora
Associate Professor San Jose State University
Verified email at sjsu.edu - Homepage
Title
Cited by
Cited by
Year
Increasing crop diversity mitigates weather variations and improves yield stability
ACM Gaudin, TN Tolhurst, AP Ker, K Janovicek, C Tortora, RC Martin, ...
PloS one 10 (2), e0113261, 2015
4012015
A mixture of generalized hyperbolic factor analyzers
C Tortora, PD McNicholas, RP Browne
Advances in Data Analysis and Classification 10 (4), 423-440, 2016
622016
A mixture of coalesced generalized hyperbolic distributions
C Tortora, BC Franczak, RP Browne, PD McNicholas
Journal of Classification 36, 26-57, 2019
342019
MixGHD: model based clustering, classification and discriminant analysis using the mixture of generalized hyperbolic distributions
C Tortora, RP Browne, BC Franczak, PD McNicholas
R package version 1, 2015
312015
Unsupervised learning via mixtures of skewed distributions with hypercube contours
BC Franczak, C Tortora, RP Browne, PD McNicholas
Pattern Recognition Letters 58, 69-76, 2015
242015
Categorizing three active cyclist typologies by exploring patterns on a multitude of GPS crowdsourced data attributes.
C Poliziani, F Rupi, F Mbuga, J Schweizer, C Tortora
Research in Transportation Business & Management 40, 100572, 2021
182021
Multiple scaled contaminated normal distribution and its application in clustering
A Punzo, C Tortora
Statistical Modelling 21 (4), 332-358, 2021
182021
A mixture of coalesced generalized hyperbolic distributions
C Tortora, BC Franczak, RP Browne, PD McNicholas
arXiv preprint arXiv:1403.2332, 2014
152014
Model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution: MixGHD R package
C Tortora, RP Browne, A ElSherbiny, BC Franczak, PD McNicholas
Journal of Statistical Software 98, 1-24, 2021
132021
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
132016
Benchmarking in cluster analysis: a study on spectral clustering, DBSCAN, and K-Means
N Murugesan, I Cho, C Tortora
Data Analysis and Rationality in a Complex World 16, 175-185, 2021
122021
Factor pd-clustering
C Tortora, MG Summa, F Palumbo
Algorithms from and for Nature and Life: Classification and Data Analysis …, 2013
12*2013
Beyond skill: students' dispositions towards math
W Maciejewski, C Tortora, J Bragelman
Journal of Developmental Education, 18-25, 2021
102021
Model-based clustering and outlier detection with missing data
H Tong, C Tortora
Advances in Data Analysis and Classification 16 (1), 5-30, 2022
82022
MixGHD: Model Based Clustering
C Tortora, A ElSherbiny, RP Browne, BC Franczak, PD McNicholas
Classification and Discriminant Analysis Using the Mixture of Generalized …, 2017
82017
Assembly rules vary seasonally in stable phytoplankton associations of the Gulf of Naples (Mediterranean Sea)
A Zingone, C Tortora, D D′ Alelio, F Margiotta, D Sarno
Marine Ecology 44 (3), e12730, 2023
72023
A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions
C Tortora, PD McNicholas, F Palumbo
SN Computer Science 1, 1-22, 2020
72020
Non-hierarchical clustering methods on factorial subspaces
C Tortora
unina, 2011
72011
Clustering mixed-type data: a benchmark study on KAMILA and k-prototypes
J Jimeno, M Roy, C Tortora
Data Analysis and Rationality in a Complex World 16, 83-91, 2021
62021
FPDclustering: PD-clustering and factor PD-clustering
C Tortora, N Vidales, F Palumbo, PD McNicholas
R package version 1 (1), 2020
62020
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