Grand tour methods: an outline
Proceedings of the Seventeenth Symposium on the interface of computer sciences and statistics on Computer science and statistics
Technometrics
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Algorithms for clustering data
Algorithms for clustering data
Diversity and adaptation in populations of clustering ants
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
ACM Computing Surveys (CSUR)
Visualizing Data
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
GGobi: evolving from XGobi into an extensible framework for interactive data visualization
Computational Statistics & Data Analysis - Data visualization
Subspace clustering for high dimensional data: a review
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Ant-Based Clustering and Topographic Mapping
Artificial Life
A flocking based algorithm for document clustering analysis
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
A scalable artificial immune system model for dynamic unsupervised learning
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Clustering with a genetically optimized approach
IEEE Transactions on Evolutionary Computation
An adaptive flocking algorithm for performing approximate clustering
Information Sciences: an International Journal
Incremental semi-supervised clustering in a data stream with a flock of agents
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A general stochastic clustering method for automatic cluster discovery
Pattern Recognition
Toward a methodology for agent-based data mining and visualization
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
| Hi-index | 0.00 |
This paper presents a new bio-inspired algorithm (FClust) that dynamically creates and visualizes groups of data. This algorithm uses the concepts of a flock of agents that move together in a complex manner with simple local rules. Each agent represents one data. The agents move together in a 2D environment with the aim of creating homogeneous groups of data. These groups are visualized in real time, and help the domain expert to understand the underlying structure of the data set, like for example a realistic number of classes, clusters of similar data, isolated data. We also present several extensions of this algorithm, which reduce its computational cost, and make use of a 3D display. This algorithm is then tested on artificial and real-world data, and a heuristic algorithm is used to evaluate the relevance of the obtained partitioning.