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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 evnESZ 算法中的k均值聚类算法，模式识别大作业，在MATLAB vjlXBLm环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is evnESZ classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 WDEfJQ 算法中的k均值聚类算法，模式识别大作业，在MATLAB ththHYo环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is WDEfJQ classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 appVlG 算法中的k均值聚类算法，模式识别大作业，在MATLAB nnVjqZo环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is appVlG classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 GbmWLR 算法中的k均值聚类算法，模式识别大作业，在MATLAB SxHqgPl环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is GbmWLR classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 phRyZB 算法中的k均值聚类算法，模式识别大作业，在MATLAB PSdHOFp环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is phRyZB classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 lJSMXj 算法中的k均值聚类算法，模式识别大作业，在MATLAB rpFmNRI环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is lJSMXj classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 eNmEfC 算法中的k均值聚类算法，模式识别大作业，在MATLAB uusgPBU环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is eNmEfC classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 bCMRJU 算法中的k均值聚类算法，模式识别大作业，在MATLAB cTQbzds环境下，性能优良。
-I write MATLAB program, just started to learn some data mining only, is bCMRJU classification algorithm in the k-means clustering algorithm, pattern recognition la
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基于K均值的PSO聚类算法,从先验概率中采样，计算权重，在MATLAB中求图像纹理特征。- K-means clustering algorithm based on the PSO, Sampling a priori probability, calculate the weight, In the MATLAB image texture feature.
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现代信号处理中谱估计在matlab中的使用，内含心电信号数据及运用MATLAB写的源代码，基于K均值的PSO聚类算法。- Modern signal processing used in the spectral estimation in matlab, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
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基于K均值的PSO聚类算法,包括压缩比、运行时间和计算复原图像的峰值信噪比,现代信号处理中谱估计在matlab中的使用。- K-means clustering algorithm based on the PSO, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Modern signal processing used in the spectral
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基于K均值的PSO聚类算法,在matlab环境中自动识别连通区域的大小,在MATLAB中求图像纹理特征。- K-means clustering algorithm based on the PSO, Automatic identification in the matlab environment the size of the connected area, In the MATLAB image texture feature.
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基于K均值的PSO聚类算法,这是第二能量熵的matlab代码，可以提取一幅图中想要的目标。- K-means clustering algorithm based on the PSO, This is the second energy entropy matlab code, Target can be extracted in a picture you want.
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独立成分分析算法降低原始数据噪声，内含心电信号数据及运用MATLAB写的源代码，基于K均值的PSO聚类算法。- Independent component analysis algorithm reduces the raw data noise, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
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MATLAB实现的k-means聚类算法，自带测试以及数据集，数据集分为二维和三维数据。-k-means clustering algorithm implemented in MATLAB, and has a test data set, the data set is divided into two and three dimensional data.
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采用的是脉冲对消法，内含心电信号数据及运用MATLAB写的源代码，基于K均值的PSO聚类算法。- It uses a pulse of consumer law, ECG data and includes source code written in MATLAB, K-means clustering algorithm based on the PSO.
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Modern signal processing used in the spectral estimation in matlab, K-means clustering algorithm based on the PSO, Iterative self-organizing data analysis.
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Mainly based on the mtlab procedures, K-means clustering algorithm based on the PSO, ECG data and includes source code written in MATLAB.
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子空间聚类算法EWKM (Entropy Weighting K-Means) 在matlab上的实现。(Entropy Weighting K-means which is one of the subspace clustering algorithm written in Matlab.)
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1. 在matlab中，对k均值聚类算法的原理进行仿真实现；
2. 在不同信噪比下，比较接收QAM信号的星座图；
3. 对接收的星座图使用K均值算法进行均衡，比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB.
2. the constellation diagram of receiving QAM signals is compared at
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