کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
404711 677443 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A weight-incorporated similarity-based clustering ensemble method based on swarm intelligence
ترجمه فارسی عنوان
روش مبتنی بر خوشه بندی مبتنی بر شباهت با وزن مبتنی بر هوش روحانی است
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Clustering methods play an important role in data mining and various other applications. This work investigates them based on swarm intelligence. It proposes a new clustering method by combining K-means clustering method and mussels wandering optimization algorithm. A single cluster method is well recognized to achieve limited performance when it is compared with a clustering ensemble (CE) that integrates several single ones. Hence, this work introduces a new CE method called weight-incorporated similarity- based CE. The commonly-used datasets with varying size are used to test the performance of the proposed methods. The simulation results illustrate the validity and performance advantages of the proposed ones over some of their peers.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 104, 15 July 2016, Pages 156–164
نویسندگان
, , , ,