fuzzy clustering of time series data: a particle swarm optimization approach
نویسندگان
چکیده
with rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. clustering analysis as the most commonly used function of data mining, has attracted many researchers in computer science. because of different applications, the problem of clustering the time series data has become highly popular and many algorithms have been proposed in this field. recently swarm intelligence (si) as a family of nature inspired algorithms has gained huge popularity in the field of pattern recognition and clustering. in this paper, a technique for clustering time series data using a particle swarm optimization (pso) approach has been proposed, and pearson correlation coefficient as one of the most commonly-used distance measures for time series is considered. the proposed technique is able to find (near) optimal cluster centers during the clustering process. to reduce the dimensionality of the search space and improve the performance of the proposed method, a singular value decomposition (svd) representation of cluster centers is considered. experimental results over three popular data sets indicate the superiority of the proposed technique in comparing with fuzzy c-means and fuzzy k-medoids clustering techniques.
منابع مشابه
Fuzzy clustering of time series data: A particle swarm optimization approach
With rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. Clustering analysis as the most commonly used function of data mining, has attracted many researchers in computer science. Because o...
متن کاملFuzzy clustering of time series data: A particle swarm optimization approach
Developing information gathering technologies and getting access to a large amount of data, we always require methods for data analyzing and extract useful information from large raw dataset. Thus, data mining is an important method for solving this problem. Clustering analysis as the most commonly used function of data mining, has attracted many researchers in computer science. Because of diff...
متن کاملTime Variant Fuzzy Time Series Approach for Forecasting Using Particle Swarm Optimization
Fuzzy time series have been developed during the last decade to improve the forecast accuracy. Many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. In this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effi...
متن کاملClustering of Fuzzy Data Sets Based on Particle Swarm Optimization With Fuzzy Cluster Centers
In current study, a particle swarm clustering method is suggested for clustering triangular fuzzy data. This clustering method can find fuzzy cluster centers in the proposed method, where fuzzy cluster centers contain more points from the corresponding cluster, the higher clustering accuracy. Also, triangular fuzzy numbers are utilized to demonstrate uncertain data. To compare triangular fuzzy ...
متن کاملFuzzy Particle Swarm Optimization Algorithm for a Supplier Clustering Problem
This paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. During recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملfuzzy particle swarm optimization algorithm for a supplier clustering problem
this paper presents a fuzzy decision-making approach to deal with a clustering supplier problem in a supply chain system. during recent years, determining suitable suppliers in the supply chain has become a key strategic consideration. however, the nature of these decisions is usually complex and unstructured. in general, many quantitative and qualitative factors, such as quality, price, and fl...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
journal of ai and data miningناشر: shahrood university of technology
ISSN 2322-5211
دوره 3
شماره 1 2015
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023