CLUSTERING OF RAINFALL DISTRIBUTION PATTERNS IN PENINSULAR MALAYSIA USING TIME SERIES CLUSTERING METHOD
نویسندگان
چکیده
منابع مشابه
A Hybrid Time Series Clustering Method Based on Fuzzy C-Means Algorithm: An Agreement Based Clustering Approach
In recent years, the advancement of information gathering technologies such as GPS and GSM networks have led to huge complex datasets such as time series and trajectories. As a result it is essential to use appropriate methods to analyze the produced large raw datasets. Extracting useful information from large data sets has always been one of the most important challenges in different sciences,...
متن کاملA Scalable Method for Time Series Clustering
Time series clustering has become an important topic, particularly for similarity search amongst long time series such as those arising in bioinformatics. Unfortunately, existing methods for time series clustering that rely on the actual time series point values can become impractical since the methods do not scale well for longer time series, and many clustering algorithms do not easily handle...
متن کاملAn Adaptive Density-Based Time Series Clustering Algorithm: A Case Study on Rainfall Patterns
Time series clustering algorithms have been widely used to mine the clustering distribution characteristics of real phenomena. However, these algorithms have several limitations to mine clustering characteristics in geography. First, current time series clustering algorithms fail to effectively mine clustering distribution characteristics of time series data without sufficient prior knowledge. ...
متن کاملdetermine of homogeneous regions distribution of annual rainfall in golestan province using clustering and l-moments
characteristics of precipitation and the regionalization major role in the efficient use of water resources and soil and management of environmental hazards. regionalization of rainfall can help to better use of water resources and to correct manage of environmental hazards. according to the analysis of climate phenomena such as precipitation, all data should be related to a homogeneous region,...
متن کاملClustering Streaming Time Series Using CBC
Clustering streaming time series is a difficult problem. Most traditional algorithms are too inefficient for large amounts of data and outliers in them. In this paper, we propose a new clustering method, which clusters Biclipped (CBC) stream data. It contains three phrases, namely, dimensionality reduction through piecewise aggregate approximation (PAA), Bi-clipped process that clipped the real...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Malaysian Journal of Science
سال: 2019
ISSN: 1394-3065,2600-8688
DOI: 10.22452/mjs.sp2019no2.8