A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Hierarchical Clustering of Complex Symbolic Data and Application for Emitter Identification
2018
Journal of Computer Science and Technology
It is well-known that the values of symbolic variables may take various forms such as an interval, a set of stochastic measurements of some underlying patterns or qualitative multi-values and so on. However, the majority of existing work in symbolic data analysis still focuses on interval values. Although some pioneering work in stochastic pattern based symbolic data and mixture of symbolic variables has been explored, it still lacks of flexibility and computation efficiency to make full use of
doi:10.1007/s11390-018-1857-9
fatcat:mjl7dhisijd2xmbo244rmcoc3m