fast clustering

A fast clustering algorithm called F-CABDET(Fast Clustering Algorithm based on Building a DEnsity-Tree) was presented, which significantly improves computing efficiency, reduces executing time and achieves satisfactory clustering results by the window-based method of converting global computation into local computation.

提出了一种基于窗口的快速聚类算法———FCABDET(Fast Clustering Algorithmbasedon Buildinga DEnsityTree)。

For each pixel around the boundary,a local color model is first estimated through a new fast clustering algorithm,which is designed specially for color clustering.

对边界附近的每一像素,首先通过一种新的专门用于颜色聚类的快速聚类算法得到该像素周围的局部颜色模型,并用来重新估计像素的alpha值,以消除误分割。

Based on the mathematical morphological algorithm,two methods to solve this complexity were proposed,namely,Clustering Fast Segmentation and Watershed Region Segmentation.

基于数学形态学的方法,研究了两种针对这种较复杂情况的成熟草莓果实分割的方法,即聚类快速分割法和分水岭区域分割法。

Outlier data mining algorithms based on weighted fast clustering;

基于加权快速聚类的异常数据挖掘算法

To increase object boundary precision,for each P frame,a 1/16 sub image is constructed using DC and three AC coefficients,and motion compensation information,then a fast mean shift clustering algorithm is used to divide the image into regions with coherence luminance and obtain high precision region boundaries.

针对一般的压缩域算法目标边界精度不高的特点,算法采用I帧和P帧中每个块的直流DCT系数和3个交流DCT系数,以及运动补偿信息,重建出P帧的原图像1/16大小的子图像,采用快速平均移聚类得到具有较高边界精度的亮度一致的区域;针对运动向量的噪声容易造成错误检测的缺点,算法结合聚类分析结果和运动块的分布,采用基于马尔可夫随机场的统计标号方法对目标和背景区域进行分类,得到每个P帧的目标掩模。

Use FPGA(Field Programmable Gate Array)to realize fast scan clustering algorithm of binary image,some VHDL program be show to explain how to fit the real-time demand of system.

采用可编程逻辑器件FPGA(Field Programmable Gate Array,FPGA)来实现二值图像的快速扫描聚类算法,并给出了部分VHDL程序说明满足系统实时性的要求。

Fast Multi-level Clustering Lossless Compression Algorithm for Remotely Sensed Images

多层次快速聚类的遥感图象无损压缩

Fast Clustering Lossless Compression Algorithm for Hyperspectral Images

超谱遥感图像快速聚类无损压缩算法

Time complexity optimization of clustering for fMRI feature reconstruction

脑fMRI特征重建的分层快速聚类方法

GLDBSCAN:An Improved Fast Clustering Algorithm

一种改进的快速聚类算法GLDBSCAN

A fast clustering algorithm based on grid and density condensation point

一种基于网格和密度凝聚点的快速聚类算法

A Fast Clustering Algorithm with Adaptive Density Based on Homogeneous Grid;

基于均匀网格的自适应密度快速聚类算法

The Application of Rapid Cluster Analysis Algorithm to Customer Orientation in CRM;

快速聚类分析算法在CRM中客户定位的应用

An Improved Fast Clustering Algorithm and the Related Parallelization Research

一种改进的快速聚类算法及并行化研究

Fast clustering algorithm based on foregone samples in intrusion detections of mine security production

煤矿安全网中基于已知样本的快速聚类入侵检测算法

Application of Aviation Share Ratio Model Based on Rapid Cluster Analysis to Passenger Transport Volume Forecast at New Airport;

基于快速聚类分析的航空分担率模型在新建机场客运量预测中的应用

K_means Clustering Algorithm with Fast Lookup Initial Start Center

快速查找初始聚类中心的K_means算法

Non-local denoising fast fuzzy C-means clustering algorithm

非局部降噪快速模糊C-均值聚类算法

ASCA:A Fast and Self Adaptive Sort-Clustering Algorithm

ASCA:一种快速自适应聚类算法

Fast fuzzy C-Means clustering for image segmentation

快速模糊C均值聚类的图像分割方法

Fast training support vector machine based on clustering

基于聚类的快速支持向量机训练算法

Fast Fractal Image Compression Based on Fuzzy C-means Clustering

基于FCM聚类的快速分形图像编码算法

A Modified Fast HCM Algorithm for Color Clustering

一种改进的快速HCM颜色聚类算法

A Very Fast Adaptive Mean Shift Clustering Method

一种快速自适应的均值漂移聚类算法