搜索资源列表
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
kmeans
- 基于matlab的图像k均值算法，实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
KMeans
- K均值算法，Matlab实现，输入分类数，实现分类-K means algorithm, Matlab implementation, enter the number of classifications to achieve classification
kmeans
- k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
kmeans-segment
- 利用k-means算法进行图像分割，效果较好-Using k-means algorithm for image segmentation is better
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
K_average
- k均值聚类或者成为均值聚类，用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
123456789K_Average
- K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
kmeans-image-segmentation
- K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
K-means.m
- K-mean均值算法的matlab功能实现-K-means to achieve the matlab function
k_means_Gray
- 对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code
a
- 对于彩色图像的 k均值算法的matlab代码 文件置于c盘根目录-Colored graphics k-means algorithm matlab code
KNN
- 用k-means算法实现KNN算法，是模式识别中的经典算法再现-K-means algorithm with KNN algorithm is a classical pattern recognition algorithm for reconstruction
k-means
- k-means算法用matla实现车牌定位-License plate location achieved with matla
k-means-picture
- k-means图像分割，数据仓库与数据挖掘大作业，不同于其他k-means图像分割，k-means算法为自己编辑，而非调用matlab k-means函数，刚出成绩上传的-k-means
k-means-and-meanshift
- 这是Meanshift算法和K-Means算法的对比的matlab实现~-This is a matlab program of Meanshift and K-Means
K-mean
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
k_means
- MATLAB编写K-means算法，已通过验证，并且已经做成函数，可以直接使用(MATLAB writes the K-means algorithm, which has been verified, and has been made into a function that can be used directly)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)