Results 41 to 50 of about 18,151,622 (163)
TIERS Information Technology Journal, 2023 Rice is a food commodity that is a basic need for Indonesian people. Since the end of 2022, average rice prices in Indonesia have been increasing, breaking the record for the highest price from August to October 2023.
Yeni Rahkmawati, Selvi Annisa
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Graph-based two-level clustering for electric vehicle usage patterns
Energy and AIElectric vehicles (EVs) continue to gain popularity over internal combustion vehicles, but driving and charging an EV is a fundamentally different experience. EV usage patterns include features such as charging speed, battery state of charge, and battery
Dhanashree Balaram +5 more
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Improved robustness in time series analysis of gene expression data by polynomial model based clustering [PDF]
, 2006 Microarray experiments produce large data sets that often contain noise and considerable missing data. Typical clustering methods such as hierarchical clustering or partitional algorithms can often be adversely affected by such data.
Liu, X +20 more
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Feature-Driven Time Series Clustering
, 2021 International audienceThe problem of clustering time series has several applications in real-life contexts, especially in data science and data analytics pipelines.
Ng, Raymond +2 more
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Multivariate Time Series Density Clustering Algorithm Using Shapelet Space [PDF]
Jisuanji kexue yu tansuoMultivariate time series clustering has become an important research topic in the task of time series analysis. Compared with univariate time series, the research of multivariate time series is more complex and difficult.
SHENG Jinchao, DU Mingjing, SUN Jiarui, LI Yurui
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A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines
Sensors, 2022 The rapid growth of digital information has produced massive amounts of time series data on rich features and most time series data are noisy and contain some outlier samples, which leads to a decline in the clustering effect. To efficiently discover the
Jiucheng Xu +4 more
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Time Series Clustering Based on Singularity [PDF]
, 2017 With relevant theories on time series clustering, the thesis makes research into similarity clustering process of time series from the perspective of singularity and proposes the time series clustering based on singularity applying K-means and DBScan ...
Ding, Xueli, Chang, Dan, Ma, Yunfang
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Guided conjugate Bayesian clustering for uncovering rhythmically expressed genes [PDF]
, 2006 Background: An increasing number of microarray experiments produce time series of expression levels for many genes. Some recent clustering algorithms respect the time ordering of the data and are, importantly, extremely fast. The focus of this paper is
Millar, A. J. +3 more
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Advances in clustering and visualization of time series using GTM through time
, 2008 Most of the existing research on multivariate time series concerns supervised forecasting problems. In comparison, little research has been devoted to their exploration through unsupervised clustering and visualization. In this paper, the capabilities of
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Partial mixture model for tight clustering of gene expression time-course [PDF]
, 2008 Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters.
Li Chang-Tsun +8 more
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