Guénaël Cabanes

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— Determining the optimum number of clusters is an ill posed problem for which there is no simple way of knowing that number without a priori knowledge. The purpose of this paper is to provide a simultaneous two-level clustering algorithm based on self organizing map, called DS2L-SOM, which learn at the same time the structure of the data and its(More)
One of the most crucial questions in many real-world cluster applications is determining a suitable number of clusters, also known as the model selection problem. Determining the optimum number of clusters is an ill posed problem for which there is no simple way of knowing that number without a priori knowledge. In this paper we propose a new two-level(More)
Radio Frequency IDentification (RFID) is an advanced tracking technology that can be used to study the spatial organization of animal societies. The aim of this work is to build a new RFID-based autonomous system to follow individuals spatio-temporal activity, which is not currently available, and to develop new tools for automatic data mining. We study(More)
Sex differences in human social behaviors and abilities have long been a question of public and scientific interest. Females are usually assumed to be more socially oriented and skillful than males. However, despite an extensive literature, the very existence of sex differences remains a matter of discussion while some studies found no sex differences(More)
In recent years, the size and complexity of datasets have shown an exponential growth. In many application areas, huge amounts of data are generated, explicitly or implicitly containing spatial or spatiotemporal information. However, the ability to analyze these data remains inadequate, and the need for adapted data mining tools becomes a major challenge.(More)
— In many cases, databases are in constant evolution, new data is arriving continuously. Data streams pose several unique problems that make obsolete the applications of classical data analysis methods. Indeed, these databases are constantly on-line, growing with the arrival of new data. In addition, the probability distribution associated with the data may(More)
The exponential growth of data generates terabytes of very large databases. The growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. Thus, it becomes crucial to have methods able to construct a condensed description of the properties and structure of data, as(More)
Radio Frequency IDentification (RFID) is an advanced tracking technology that can be used to study the spatial organization of individual's spatio-temporal activity. The aim of this work is firstly to build a new RFID-based autonomous system which can follow individuals' spatio-temporal activity, a tool not currently available. Secondly, we aim to develop(More)