chazhijia

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".

PLS方法的回归分析，PLSR 参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，(PLSR:Partial Least Squares Regresion Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，)

说明：  多路信号采样，时分复用传输和接收SIMULINK仿真模型(Multi-channel signal sampling, time division multiplex transmit and receive SIMULINK simulation model)

useful for INS simulation

Differential evolution unit commitment economic dispatch

lock on some target in moves an film

台湾林智仁教授的SVM工具箱，已经编译好了，在MATLAB里面的set path 添加路径就可以直接使用了！（win32位）的！(a good SVM toolbox!)

芬兰作者提出的FastICA算法，用以解决盲源分离问题，我编写了一个主程序，调用其已经编写好的功能函数，可以查看仿真结果。(Finland FastICA algorithm proposed by the authors to solve the blind source separation problem, I wrote a main program, calling its already written performance function, you can view the simulation results.)

说明：  混沌时间序列分析中的Ｇ－Ｐ方法，用来计算相空间重构用到的关联维和嵌入维数(Chaotic time series analysis of the G-P method, used to calculate the phase-space reconstruction using the correlation dimension and embedding dimension)

SVM implementation(one agianst one approach)