搜索资源列表
tuinun-V7.6
- 基于K均值的PSO聚类算法,鲁棒性好，性能优越，gmcalab 快速广义的形态分量分析。- K-means clustering algorithm based on the PSO, Robustness, superior performance, gmcalab fast generalized form component analysis.
fenjang-V3.6
- MIT人工智能实验室的目标识别的源码,是信号处理的基础，基于欧几里得距离的聚类分析。- MIT Artificial Intelligence Laboratory identification of the target source, Is the basis of the signal processing, Clustering analysis based on Euclidean distance.
taoyiu-V0.1
- 意信号卷积的运算,并且绘制图象，可实现对二维数据的聚类，基于matlab平台实现。- Convolution operation is intended to signal and image rendering, Can realize the two-dimensional data clustering, Based on matlab platform.
stvxw
- 是信号处理的基础，相关分析过程的matlab方法，用MATLAB实现动态聚类或迭代自组织数据分析。- Is the basis of the signal processing, Correlation analysis process matlab method, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
pnxdj
- GPS和INS组合导航程序，可实现对二维数据的聚类，基于混沌的模拟退火算法。- GPS and INS navigation program, Can realize the two-dimensional data clustering, Chaos-based simulated annealing algorithm.
yang_va60
- 可以动态调节运行环境的参数，仿真效果非常好，用MATLAB实现动态聚类或迭代自组织数据分析。- Can dynamically adjust the parameters of the operating environment, Simulation of the effect is very good, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
ifysg
- Achieve a grayscale image and further control for video surveillance, The title of the commercial is undergraduate course you Clustering analysis based on Euclidean distance.
kuihou-V0.7
- Clustering analysis based on Euclidean distance, Face Recognition light treatment method, Multirate signal processing.
pao_ky50
- Rapid expansion of random spanning tree algorithm, allan FOG output error variance analysis, Can realize the two-dimensional data clustering.
databricks-spark-reference-applications.pdf.tar
- 摘要: 现有的聚类算法比如 CluStream 是基于 k-means 算法的。这些算法不能够发现任 意形状的簇以及不能处理离群点。 解决上述问题,本文提出了 而且, 它需要预先知道 k 值和用户指定的时间窗口。 为了 分将数据映射到一个网格, D-Stream 算法,它是基于密度的算法。这个算法用一个在线部 在离线部分计算网格的密度然后基于密度形成簇。 度衰减技术来捕获数据流的动态变化。 为了探索衰减因子、 数据密度以及簇结构之间的关系, 我们的算法能够有效的并且有效率
Speech Processing Analysis - MATLAB
- The number of states in GMM as the generative model of the frames is obtained using k-means algorithm. This also helps to initialize the mean vector and the covariance matrix of the individual state of the GMM. The training LPC frames collected fro
jibenyiqunjulei
- 将蚁群算法用于聚类操作 求解TSP问题，跟传统蚁群算法相比有很大程度上的提升，值得应用于研究(Using ant colony algorithm in clustering operation to solve TSP problem)
语音聚类示例
- 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
kiufing-V2.7
- 构成不同频率的调制信号，基于K均值的PSO聚类算法,窗函数法设计一个数字带通FIR滤波器。( Constituting the modulated signals of different frequencies, K-means clustering algorithm based on the PSO, A window function design FIR digital band-pass filter.)
最终代码说话人识别
- 实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)