Add to ORKGInternational audienceWe present a new hybrid algorithm for data clustering. This new proposal uses one of the well known evolutionary algorithms called Scatter Search. Scatter Search operates on a small set of solutions and makes only a limited use of randomization for diversification when searching for globally optimal solutions. The proposed method discovers automatically cluster number and cluster centres without prior knowledge of a possible number of class, and without any initial partition. We have applied this algorithm on standard and real world databases and we have obtained good results compared to the K-means algorithm and an artificial ant based algorithm, the Antclass algorithm
One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the a...
Clustering is a very well known technique in data mining. One of the most widely used clustering tec...
Clustering, which is an important technique in analyzing data, is used in many fields, especially in...
Abstract. We present a new hybrid algorithm for data clustering. This new proposal uses one of the w...
Abstract. Most Data Mining tasks are performed by the application of Machine Learning techniques. Me...
A metaheuristic procedure based on the Scatter Search approach is proposed for the non-hierarchical ...
Abstract: We consider clustering as a combinatorial optimisation problem. Local search provides a si...
Finding clusters in data is a challenging problem. Given a dataset, we usually do not know the numbe...
In solving the clustering problem, traditional methods, for example, the K-means algorithm and its v...
In this paper, an evolutionary programming-based clustering algorithm is proposed. The algorithm eff...
The modern world has witnessed a surge in technological advancements that span various industries. I...
This paper presents the Clustering Search (CS) as a new hybrid metaheuristic, which works in conjunc...
This paper approaches a recent hybrid evolutionary algorithm, called Evolutionary Clustering Search ...
Clustering is a popular data analysis and data mining technique. The k-means clustering algorithm is...
Clustering is an unsupervised approach to extract hidden patterns from the datasets. There are certa...
One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the a...
Clustering is a very well known technique in data mining. One of the most widely used clustering tec...
Clustering, which is an important technique in analyzing data, is used in many fields, especially in...
Abstract. We present a new hybrid algorithm for data clustering. This new proposal uses one of the w...
Abstract. Most Data Mining tasks are performed by the application of Machine Learning techniques. Me...
A metaheuristic procedure based on the Scatter Search approach is proposed for the non-hierarchical ...
Abstract: We consider clustering as a combinatorial optimisation problem. Local search provides a si...
Finding clusters in data is a challenging problem. Given a dataset, we usually do not know the numbe...
In solving the clustering problem, traditional methods, for example, the K-means algorithm and its v...
In this paper, an evolutionary programming-based clustering algorithm is proposed. The algorithm eff...
The modern world has witnessed a surge in technological advancements that span various industries. I...
This paper presents the Clustering Search (CS) as a new hybrid metaheuristic, which works in conjunc...
This paper approaches a recent hybrid evolutionary algorithm, called Evolutionary Clustering Search ...
Clustering is a popular data analysis and data mining technique. The k-means clustering algorithm is...
Clustering is an unsupervised approach to extract hidden patterns from the datasets. There are certa...
One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the a...
Clustering is a very well known technique in data mining. One of the most widely used clustering tec...
Clustering, which is an important technique in analyzing data, is used in many fields, especially in...