Pre-processing streamflow data through singular spectrum analysis with fuzzy C-means clustering
One approach to improve water resource management is by making use of streamflow forecasts. In this study, eigenvector pairs were clustered by employing fuzzy c-means (FCM) during the grouping stage as an enhancement to the singular spectrum analysis (SSA) technique for data pre-processing. The FCM-...
保存先:
主要な著者: | Nasir, Najah, Samsudin, Ruhaidah, Shabri, Ani |
---|---|
フォーマット: | Conference or Workshop Item |
言語: | English |
出版事項: |
2020
|
主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/92154/1/NajahNasir2020_PreprocessingStreamflowDatathroughSingularSpectrum.pdf http://eprints.utm.my/id/eprint/92154/ http://dx.doi.org/10.1088/1757-899X/864/1/012085 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Forecasting drought using modified empirical wavelet transform-ARIMA with fuzzy C-means clustering
著者:: Shaari, Muhammad Akram, 等
出版事項: (2018) -
Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
著者:: Badyalina, Basri, 等
出版事項: (2014) -
A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
著者:: Sharifah Sakinah, Syed Ahmad
出版事項: (2014) -
Modeling of vehicle trajectory using K-means and fuzzy C-means clustering
著者:: Choong, Mei Yeen, 等
出版事項: (2019) -
Comparison of singular spectrum analysis and autoregressive integrated moving-average model on forecasting tourist arrival to langkawi
著者:: Shabri, Ani, 等
出版事項: (2018)