| Titolo |
Pubblicato in |
Anno |
| L0-penalized membership in sparse fuzzy clustering |
Methodological and Applied Statistics and Demography IV |
2025 |
| Fuzzy clustering with $$\hbox {L}_0$$ regularization |
ANNALS OF OPERATIONS RESEARCH |
2025 |
| Fuzzy Clustering Implementations for Big Data in R |
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence |
2024 |
| FKML0: A Matlab Routine for Sparse Fuzzy Clustering |
2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
2024 |
| Hypothesis test based document clustering |
Book of abstracts. CFE-CMStatistics 2024 |
2024 |
| Fuzzy and Model Based Clustering Methods: Can We Fruitfully Compare Them? |
Models for Data Analysis |
2023 |
| Consensus and fuzzy partition of dendrograms from a three-way dissimilarity array |
INFORMATION SCIENCES |
2023 |
| Cluster analysis for networks using a fuzzy approach |
CLADAG 2023. Book of abstract and short papers |
2023 |
| Representing ensembles of networks for fuzzy cluster analysis: a case study. |
DATA MINING AND KNOWLEDGE DISCOVERY |
2023 |
| Document clustering |
WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL STATISTICS |
2022 |
| On Clustering of Star-Shaped Sets with a Fuzzy Approach: An Application to the Clasts in the Cantabrian Coast |
Building Bridges between Soft and Statistical Methodologies for Data Science |
2022 |
| Cluster Validity Measures for Fuzzy Two-Mode Clustering |
Building Bridges between Soft and Statistical Methodologies for Data Science |
2022 |
| A Fuzzy clustering approach for textual data |
|
2021 |
| Fuzzy k-Means: history and applications |
ECONOMETRICS AND STATISTICS |
2021 |
| Soft clustering |
WILEY INTERDISCIPLINARY REVIEWS. COMPUTATIONAL STATISTICS |
2020 |
| A fuzzy clustering approach for fuzzy data based on a generalized distance |
FUZZY SETS AND SYSTEMS |
2020 |
| A class of two-mode clustering algorithms in a fuzzy setting |
ECONOMETRICS AND STATISTICS |
2020 |
| An Introduction to Clustering with R |
|
2020 |
| fclust: An R Package for Fuzzy Clustering |
THE R JOURNAL |
2019 |
| A review and proposal of (fuzzy) clustering for nonlinearly separable data |
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING |
2019 |
