An Agent Oriented Approach for Implementation of the Range Method of Initial Centroids in K-Means Clustering Data Mining Algorithm

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Provided by: AICIT
Topic: Big Data
Format: PDF
Intelligent agents are today accepted as powerful tools for data mining in a distributed environment. Artificial Intelligence (AI) algorithms are utilized to render software agents more intelligent. Knowledge discovery and data mining methods have been applied to discover hidden patterns and relations in complex datasets where clustering is one of the most important approaches used for this purpose. There exists a number of clustering algorithms among which the k-means algorithm is commonly used to find clusters due to its simplicity of implementation and fast execution.
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