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KMEANS
- 对二维数组的最基础的K-means聚类算法的c++实现-Two-dimensional array of the most basic K-means clustering algorithm c++ to achieve
ordinary_algorithm_for_pattern_recognition
- 使用C语言实现的一些简单模式识别聚类算法，用于简单的二维坐标系点的聚类。有最短距离算法、K均值算法、近邻算法、fcm算法、最大最小距离算法。-Using the C language implementation of some simple pattern recognition clustering algorithm for a simple two-dimensional coordinate system point of clustering. Has the shortest di
banggang
- 基于K均值的PSO聚类算法,利用最小二乘法进行拟合多元非线性方程，旋转机械二维全息谱计算。- K-means clustering algorithm based on the PSO, Multivariate lea
quigun
- FIR 底通和带通滤波器和IIR 底通和带通滤波器，基于K均值的PSO聚类算法,旋转机械二维全息谱计算。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, K-means clustering algorithm based on the PSO, Rotating machinery 2-d holographic spectrum calculation.
perea
- 基于K均值的PSO聚类算法,旋转机械二维全息谱计算的实用例程，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- K-means clustering algorithm based on the PSO, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Monte Carlo simulation method of calculating the American op
K---MEANS
- 随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)