Hybrid Fuzzy-Clustering Algorithm of Unevenly and Asynchronously Spaced Time Series in Computer Engineering

被引：0
|
作者：
Bodyanskiy, Yevgeniy [1 ]
Kobylin, Ilya [1 ]
Rashkevych, Yuriy [2 ]
Vynokurova, Olena [1 ,3 ]
Peleshko, Dmytro [3 ]
机构：
[1] Kharkiv Natl Univ Radio Elect, Kharkov, Ukraine
[2] Minist Educ & Sci Ukraine, Kiev, Ukraine
[3] IT Step Univ, Lvov, Ukraine
来源：
2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET) | 2018年
关键词：
fuzzy-clustering; time series; unevenly and asynchronously distributed observations; data mining; computational intelligence;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper the hybrid fuzzy-clustering algorithm of unevenly and asynchronously spaced time series (such as biomedical data, digital video streams, data from Internet of Things sensors, the signals, which form a discrete twodimensional field, etc.) is proposed. This algorithm is characterised by computational simplicity, high approximation properties and can be used for clustering both small and high dimension data set of arbitrary nature.
引用
收藏
页码：930 / 935
页数：6
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