5 citations · 9 across the 3 of their papers we have counts for
4 papers
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering
Young-Min Kim, Julien Velcin, Stéphane Bonnevay +1
Evolutionary clustering aims at capturing the temporal evolution of clusters. This issue is particularly important in the context of social media data that are naturally temporally…
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay +1
We propose ClusPath, a novel algorithm for detecting general evolution tendencies in a population of entities. We show how abstract notions, such as the Swedish socio-economical mo…
Opinion mining from twitter data using evolutionary multinomial mixture models
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay +1
Image of an entity can be defined as a structured and dynamic representation which can be extracted from the opinions of a group of users or population. Automatic extraction of suc…
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay +1
In this paper, we study different discrete data clustering methods, which use the Model-Based Clustering (MBC) framework with the Multinomial distribution. Our study comprises seve…