An Efficient Clustering Approach using Hybrid Swarm Intelligence based Artificial Bee Colony- Firefly Algorithm
نویسندگان
چکیده
منابع مشابه
A Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization
In this paper, Cluster analysis is a group objects like observations, events etc based on the information that are found in the data describing the objects or their relations. The main goal of the clustering is that the objects in a group will be similar or related to one other and different from (or unrelated to) the objects in other groups. In this paper, proposed a hybrid model of PSABC algo...
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In this paper, Cluster analysis is a group objects like observations, events etc based on the information that are found in the data describing the objects or their relations. The main goal of the clustering is that the objects in a group will be similar or related to one other and different from (or unrelated to) the objects in other groups. In this paper, proposed a hybrid model of PSABC algo...
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متن کاملA Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization
In this paper, Cluster analysis is a group objects like observations, events etc based on the information that are found in the data describing the objects or their relations. The main goal of the clustering is that the objects in a group will be similar or related to one other and different from (or unrelated to) the objects in other groups. In this paper, proposed a hybrid model of PSABC algo...
متن کاملA Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization
In this paper, Cluster analysis is a group objects like observations, events etc based on the information that are found in the data describing the objects or their relations. The main goal of the clustering is that the objects in a group will be similar or related to one other and different from (or unrelated to) the objects in other groups. In this paper, proposed a hybrid model of PSABC algo...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i39/95169