Clustering Analysis of Aging Diseases and Chronic Habits With Multivariate Time Series Electrocardiogram and Medical Records
نویسندگان
چکیده
منابع مشابه
Clustering and Visualization of Multivariate Time Series
The analysis of MTS is an established research area, and methods to carry it out have stemmed both from traditional statistics and from the Machine Learning and Computational Intelligence fields. In this chapter, we are mostly interested in the latter, but considering a mixed approach that can be ascribed to Statistical Machine Learning. MTS are often analyzed for prediction and forecasting and...
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An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering
Multivariate time series (MTS) data are ubiquitous in science and daily life, and how to measure their similarity is a core part of MTS analyzing process. Many of the research efforts in this context have focused on proposing novel similarity measures for the underlying data. However, with the countless techniques to estimate similarity between MTS, this field suffers from a lack of comparative...
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A new methodology for clustering multivariate time-series data is proposed. The methodology is based on calculation of the degree of similarity between multivariate time-series datasets using two similarity factors. One similarity factor is based on principal component analysis and the angles between the principal component subspaces while the other is based on the Mahalanobis distance between ...
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supervisors play an undeniable role in training teachers, before starting their professional experience by preparing them, at the initial years of their teaching by checking their work within the proper framework, and later on during their teaching by assessing their progress. but surprisingly, exploring their attributes, professional demands, and qualifications has remained a neglected theme i...
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ژورنال
عنوان ژورنال: Frontiers in Aging Neuroscience
سال: 2020
ISSN: 1663-4365
DOI: 10.3389/fnagi.2020.00095