Add to ORKGInternational audienceAs an important technique for data mining, clustering often consists in forming a set of groups according to a similarity measure such as hamming distance. In this paper, we present a new bio-inspired model based on artificial ants over a dynamical graph of clusters using colonial odors and pheromone-based reinforcement process. Results analysis are provided and based on the impact of parameter values on purity index which is a measure of clustering quality. Dynamic evolution of cluster graph topologies are presented on two databases from Machine Learning Repository
(MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to th...
AbstractIn this paper, we present a new approach using a non-hierarchical method in graph environmen...
Clustering analysis is an important function of data mining. Various clustering methods are need for...
International audienceAs an important technique for data mining, clustering often consists in formin...
International audienceIn this paper we present a summary of our work which has proposed a new model ...
International audience For many examples of social insect metaphor for solving problems, several alg...
International audienceIn this paper, we introduce a new method to solve the unsupervised clustering ...
International audienceIn this paper is presented a new model for data clustering, which is inspired ...
The clustering algorithms have evolved over the last decade. With the continuous success of natural ...
In this paper is presented a new model for data clustering, which is inspired from the self-assembly...
International audienceThis paper describes the Visual AntClust clustering algorirthm that relies on ...
In this thesis, we develop a new clustering approach inspired from the chemical recognition system o...
Abstract — Swarm intelligence is a collective effort of simple agents working locally but resulting ...
In this paper we will present a new clustering algorithm for unsupervised learning. It is inspired f...
International audienceIn this paper, we present a new approach using a non-hierarchical method in gr...
(MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to th...
AbstractIn this paper, we present a new approach using a non-hierarchical method in graph environmen...
Clustering analysis is an important function of data mining. Various clustering methods are need for...
International audienceAs an important technique for data mining, clustering often consists in formin...
International audienceIn this paper we present a summary of our work which has proposed a new model ...
International audience For many examples of social insect metaphor for solving problems, several alg...
International audienceIn this paper, we introduce a new method to solve the unsupervised clustering ...
International audienceIn this paper is presented a new model for data clustering, which is inspired ...
The clustering algorithms have evolved over the last decade. With the continuous success of natural ...
In this paper is presented a new model for data clustering, which is inspired from the self-assembly...
International audienceThis paper describes the Visual AntClust clustering algorirthm that relies on ...
In this thesis, we develop a new clustering approach inspired from the chemical recognition system o...
Abstract — Swarm intelligence is a collective effort of simple agents working locally but resulting ...
In this paper we will present a new clustering algorithm for unsupervised learning. It is inspired f...
International audienceIn this paper, we present a new approach using a non-hierarchical method in gr...
(MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to th...
AbstractIn this paper, we present a new approach using a non-hierarchical method in graph environmen...
Clustering analysis is an important function of data mining. Various clustering methods are need for...