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SAX_2006_ver
- 它是一种解决高维数据降维的方法程序，用于符号化表示，在研究时间序列数据挖掘方面具有广泛的应用。-It is a solution of high dimensional data dimensionality reduction methods and procedures used to symbolize that in the study of time series data mining has a wide range of applications.
SAX_2006_ver
- SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报-SAX (Symbolic Aggregate approXimation)
SAX_2006_ver
- 这是一个SAX符号化的程序，并有详细的注释，以及最短距离程序，和SAX跟PAA的比较。(This is a SAX symbolic program, with detailed notes, as well as the shortest distance program, and SAX and PAA comparison.)
SAX_2006_ver
- SAX "A Symbolic Representation of Time Series, with Implications for Streaming Algorithms."
SAX_2006_ver
- 用于研究时间序列的异常检测。主要是将一段原始数据进行离散化(PAA)。再用符号聚合近似的方法变成一串序列。(It is used to study the anomaly detection of time series.)
SAX_2006_ver
- matlab编程的SAX程序，实现时间序列的离散化。(Matlab programming SAX program to realize the discretization of time series.)