Results 101 to 110 of about 303,598 (207)

Multi-attribute fuzzy time series method based on fuzzy clustering

, 2015
[[abstract]]Traditional time series methods can predict the seasonal problem, but fail to forecast the problems with linguistic value. An alternative forecasting method such as fuzzy time series is utilized to deal with these kinds of problems.
王佳文;Wang, Jia-Wen;Cheng, Ching-Hsue;Cheng, Guang-Wei
core  

Discriminant analysis of multivariate time series using wavelets [PDF]

In analyzing ECG data, the main aim is to differentiate between the signal patterns of those of healthy subjects and those of individuals with specific heart conditions.
M. Andrés Alonso, Ann Elizabeth Maharaj
core  

Temporal Multi-Features Representation Learning-Based Clustering for Time-Series Data

IEEE Access
Time-series clustering remains a challenge in data mining. Although novel deep-learning-based representation learning integrated with deep clustering methods have considerably enhanced the performance of time-series clustering, efficiently capturing the ...
Jaehoon Lee, Dohee Kim, Sunghyun Sim
doaj   +1 more source

Clustering Time Series of Different Length Using Self-Organising Maps

The current work is devoted to the problem of time series analysis. One of the relevant tasks connected with time series is splitting the set of objects into individual groups – clusters for further forecasting the behaviour of time series.
Paršutins, Sergejs
core  

Forecasting Time Series from Clusters. [PDF]

Forecasting large numbers of time series is a costly and time-consuming exercise. Before forecasting a large number of series that are logically connected in some way, the authors can first cluster them into groups of similar series.
Inder, B., Marahaj, E.A.
core  

Time-series clustering

, 2016
Questo libro contiene informazioni ottenute da fonti autentiche e apprezzate. Sono stati compiuti sforzi ragionevoli per pubblicare dati e informazioni affidabili, ma l'autore e l'editore non possono assumersi la responsabilità della validità di tutti i materiali o delle conseguenze del loro utilizzo.
J. Cajado, A. Maharaj, PIERPAOLO D'URSO
openaire   +1 more source

Spectral Clustering of Precipitation Time Series in Golestan Province [PDF]

پژوهشنامه مدیریت حوزه آبخیز
Extended Abstract Background: Clustering time series of precipitation and other hydrological elements by direct use of classic methods, such as K-means, can be misleading because there is a time-lagged correlation in time series observations that is ...
Nader Jandaghi, Mojtaba Ghare Mahmoodlu, Majid Azimmohseni, Mahnaz Khalafi   +3 more
doaj  

KDiscShapeNet: A Structure-Aware Time Series Clustering Model with Supervised Contrastive Learning

Mathematics
Time series clustering plays a vital role in various analytical and pattern recognition tasks by partitioning structurally similar sequences into semantically coherent groups, thereby facilitating downstream analysis.
Xi Chen, Yufan Jiang, Yingming Zhang, Chunhe Song   +3 more
doaj   +1 more source

Fuzzy Clustering Models for Gene Expression Data Analysis

With the advent of microarray technology, it is possible to monitor gene expression of tens of thousands of genes in parallel. In order to gain useful biological knowledge, it is necessary to study the data and identify the underlying patterns, which ...
Wang, Yu
core  

Clustering of financial time series

, 2013
This paper addresses the topic of classifying financial time series in a fuzzy framework proposing two fuzzy clustering models both based on GARCH models.
D'URSO, Pierpaolo, Pierpaolo D’Urso, Carmela Cappelli, CAPPELLI, CARMELA, Riccardo Massari, Dario Di Lallo, MASSARI, Riccardo   +6 more
core   +1 more source