good K-means clusters

TCGA数据合并 Merge-putFilesToOneDir.zip(TCGA data Merge-putFilesToOneDir.zip)

人脸识别2DPCA代码，MATLAB写的。(code written in MATLAB.)

tsp问题，该算法采用matlab算出了30个坐标的最优化路径，并给出迭代的时间，绘出路径。(tsp problem, the algorithm uses matlab to calculate the coordinates of 30 optimal path, and give Iterative time, mapped the path.)

用窗函数法hamming设计的FIR数字低通滤波器，能够实现心电信号中随机噪声的去除(Hamming window function method with the design of FIR digital low-pass filter, ECG can be achieved in the removal of random noise)

ACM资料大集合,超多关于ACM的资料,全是很经典的,要是把这个全搞定,肯定是金奖！(ACM data collection, a lot of information about ACM, all is very classic, if this is all done, is definitely a gold medal!)

说明：  eeg计算，用于EEG的demo计算，生物医学工程信号处理(EEG calculation, demo calculation of EEG, signal processing of Biomedical Engineering)

匹配追踪分解为联合压缩和心电图QRS检测(Matching pursuit decomposition on electrocardiograms for joint compression and QRS detection)

可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。(FFT spectrum can be extracted on EEG. We can use the extracted EEG each band to diagnose some brain disorders or brain tissue on the brain' s electrical activity and functional status were analyzed. One would experimentally measured EEG data file into a text file (has been 50Hz notch), obtained in Matlab platform can be used directly EEG data, that 0661.txt. (2) import data in Matlab and extract Fp1 channel EEG by FFT transform α, β, θ, δ bands were extracted, and do FFT inverse transform variable to the time domain. 3 calculate the power spectrum of each band.)

卡布列克常数：题目中给出的处理过程很清楚,算法不需要特殊设计,(Cablek constant: the process given in the title is clear, the algorithm does not require a special design,)

验证了基因外显子的三周期特性，提出了一种优化确定阈值的方法，分别用固定窗口滑动，及滑动序列来对基因进行识别(Verified exon three-cycle characteristics, proposed an optimization to determine threshold and using fixed window sliding and sliding sequence to identify genes)