自适应谱聚类研究的论文，可供科研人员参考-Spectral clustering hasbeenusedto identify clustersthat arenon
linearly separableininput space, andusuallyoutper
formstraditional clustering algorithms. However, the performances of spectral clustering are severely dependent o

基于kaiser窗的双谱线插值FFT谐波分析，实现六自由度运动学逆解算法，包括AHP，因子分析，回归分析，聚类分析。- Dual-line interpolation FFT harmonic analysis kaiser windows, Six degrees of freedom to achieve inverse kinematics algorithm, Including AHP, factor analysis, regression analysis, cluster ana

实验示例是基于语音中的mfcc，语音倒谱特征来进行聚类，先利用训练样本来计算训练样本聚类中心（用到了lbg算法），之后再进行分类。 注意：使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus