کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395180 665934 2012 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A clustering algorithm for multiple data streams based on spectral component similarity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A clustering algorithm for multiple data streams based on spectral component similarity
چکیده انگلیسی

We propose a new algorithm to cluster multiple and parallel data streams using spectral component similarity analysis, a new similarity metric. This new algorithm can effectively cluster data streams that show similar behaviour to each other but with unknown time delays. The algorithm performs auto-regressive modelling to measure the lag correlation between the data streams and uses it as the distance metric for clustering. The algorithm uses a sliding window model to continuously report the most recent clustering results and to dynamically adjust the number of clusters. Our experimental results on real and synthetic datasets show that our algorithm has better clustering quality, efficiency, and stability than other existing methods.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 183, Issue 1, 15 January 2012, Pages 35–47
نویسندگان
, , ,