A Feature Weighting Based Artificial Bee Colony Algorithm for Data Clustering
عنوان مقاله: A Feature Weighting Based Artificial Bee Colony Algorithm for Data Clustering
شناسه ملی مقاله: ICIKT08_022
منتشر شده در هشتمین کنفرانس بین المللی فناوری اطلاعات ودانش در سال 1395
شناسه ملی مقاله: ICIKT08_022
منتشر شده در هشتمین کنفرانس بین المللی فناوری اطلاعات ودانش در سال 1395
مشخصات نویسندگان مقاله:
Manijeh Reisi - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Parham Moradi - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Alireza Abdollahpouri - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
خلاصه مقاله:
Manijeh Reisi - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Parham Moradi - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Alireza Abdollahpouri - Department of Computer Engineering University of Kurdistan Sanandaj, Iran
Data clustering is a powerful technique for data analysis that used in many applications. The goal of clustering is to detect groups that objects of each group have the most similarity together. Artificial bee colony (ABC) is a simple algorithm with few control parameters to solve clustering problem. However, traditional ABC algorithm is considered the equal importance for all features, while real world applications carry different importance on features. To overcome this issue, we proposed a feature weighting based artificial bee colony (FWABC) algorithm for data clustering. The proposed algorithm considers a specific importance to each feature. The performance of the proposed method has been tested on various datasets and compared to well-known and state-of-the-art methods, the reported results show that the proposed method outperforms other methods.
کلمات کلیدی: Data clustering; Artifitial bee colony algorithm; feature weigthing
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/548681/