CLADAG 2023

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Home > CLADAG 2023 > CLADAG2023 > Presentations and Authors

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Track: All Tracks Advanced Clustering Methods for Complex Networks Advances and Applications in Model Based Clustering Advances in Application of Statistical Methods in Household Economics Advances in Bayesian Factor Analysis Advances in Bayesian Nonparametrics Advances in Clustering and Dimensionality Reduction Advances in Clustering Three-way Data Advances in Directional Statistics Advances in Large/Complex Data Analysis Anomaly Detection Associação Portuguesa de Classificação e Análise de Dados Contributed papers From texts to knowledge: advances and challenges in textual data analysis Functional and Object-oriented Data Analysis GFK Session IBS Session - Statistical methods for the analysis of health problems Latent Variable and Hidden Markov Models for Big Data Analytics Latent Variable Models for Complex Data Structures Machine Learning and AI Machine Learning for Finite Population Inference Measurement Uncertainty in Complex Models Multi-view Data Analysis Networks and Higher-Order Networks Data Analysis and Applications New Developments in Latent Variable Models Performance Estimation and Players’ Classification: An Overlook Into Sports Analytics Preference Data Analysis Real Big Data Applications for Socio-economic Applications Recent Advances in Model-based Unsupervised Learning Robust Procedures SFC Session Statistical Learning Methods in Finance and Business

 

Advanced Clustering Methods for Complex Networks

Cluster analysis for the study of online visual communication	PDF
Matteo Magnani, Matias Piqueras, Alexandra Segerberg, Davide Vega, Victoria Yantseva

Advances in Large/Complex Data Analysis

Clustering for sparsely sampled longitudinal data based on basis expansions
Michio Yamamoto, Yoshikazu Terada

Two extensions of extended redundancy analysis for exploratory data analysis
Naoto Yamashita

Contributed papers

Liu-type fuzzy regression functions for time series forecasting
Ufuk Yolcu, Ozge Cagcag Yolcu

Multi-view Data Analysis

Simultaneous Clustering and Variable Selection on Multi-view Data
Shuai Yuan