Add to ORKGAnt Algorithms, particularly the Ant Colony Optimization (ACO) metaheuristic, are universal, flexible and scalable because they are based on multi-agent cooperation. The increased demand for effective methods of managing large collections of documents is a sufficient stimulus to place the research on new applications of ant-based systems in the area of text document processing. The author presents an implementation of such a technique in the area of document clustering. Details of the ACO document clustering method and results of experiments are presented
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspi...
Nowadays, the explosive growth in text data emphasizes the need for developing new and computational...
Abstract.With the ever increasing volume of information, document clustering is used for automatic d...
Recently, much research has been proposed using nature inspired algorithms to perform complex machin...
Ant systems are flexible to implement and give possibility to scale because they are based on multi ...
Ant algorithms, particularly Ant Colony Optimization met-heuristic, are a universal and flexible sol...
WOS: 000395395600009Document clustering can be applied in document organisation and browsing, docume...
Abstract. In this paper we present a new algorithm for document clus-tering called Condensed Star (A...
Abstract. Sorting and clustering methods inspired by the behavior of real ants are among the earlies...
Clustering refers to the grouping of data records, observation orcases into similar objects. A clust...
AbstractWe propose an evolutionary approach based on genetic algorithm for text document clustering....
Abstract—This paper proposes a new clustering algorithm based on ant colony to solve the unsupervise...
Social animals or insects in nature often exhibit a form of emergent collective behavior known as fl...
It has recently been shown that artificial immune systems (AIS) can be successfully used in many mac...
Document clustering is the process of organizing a particularelectronic corpus of documents into sub...
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspi...
Nowadays, the explosive growth in text data emphasizes the need for developing new and computational...
Abstract.With the ever increasing volume of information, document clustering is used for automatic d...
Recently, much research has been proposed using nature inspired algorithms to perform complex machin...
Ant systems are flexible to implement and give possibility to scale because they are based on multi ...
Ant algorithms, particularly Ant Colony Optimization met-heuristic, are a universal and flexible sol...
WOS: 000395395600009Document clustering can be applied in document organisation and browsing, docume...
Abstract. In this paper we present a new algorithm for document clus-tering called Condensed Star (A...
Abstract. Sorting and clustering methods inspired by the behavior of real ants are among the earlies...
Clustering refers to the grouping of data records, observation orcases into similar objects. A clust...
AbstractWe propose an evolutionary approach based on genetic algorithm for text document clustering....
Abstract—This paper proposes a new clustering algorithm based on ant colony to solve the unsupervise...
Social animals or insects in nature often exhibit a form of emergent collective behavior known as fl...
It has recently been shown that artificial immune systems (AIS) can be successfully used in many mac...
Document clustering is the process of organizing a particularelectronic corpus of documents into sub...
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspi...
Nowadays, the explosive growth in text data emphasizes the need for developing new and computational...
Abstract.With the ever increasing volume of information, document clustering is used for automatic d...