Implementasi Particle Swarm Optimization pada K-Means untuk Clustering Data Automatic Dependent Surveillance-Broadcast
نویسندگان
چکیده
منابع مشابه
A hybrid sequential approach for data clustering using K-Means and particle swarm optimization algorithm
Clustering is a widely used technique of finding interesting patterns residing in the dataset that are not obviously known. The K-Means algorithm is the most commonly used partitioned clustering algorithm because it can be easily implemented and is the most efficient in terms of the execution time. However, due to its sensitiveness to initial partition it can only generate a local optimal solut...
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ژورنال
عنوان ژورنال: Eksplora Informatika
سال: 2018
ISSN: 2460-3694,2089-1814
DOI: 10.30864/eksplora.v8i1.150