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- 基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息-Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape
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- 对彩色图像进行K均值的图像分割，可用于模式识别-K on the mean color image segmentation, can be used for pattern recognition
fruitvegtablerecognition_svm
- 基于K-means算法和SVM算法对不同种类的水果蔬菜图像进行分类识别，算法识别率较高。- Classifying a variety of fruits and vegetables images by using K-means algorithm and SVM.
fiebou
- 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.
machine-learning-ex7
- Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
kmeans
- 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
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- k—means函数，RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(k-means function, RBF network can approximate any non-linear function, can deal with difficult-to-resolve regularity in the sys