1.
A Cell Density-Enabled Schema for Initializing Cluster Centers
融合网格密度的聚类中心初始化方案
2.
A Kernel C-Means Clustering Algorithm with Meliorated Initial Center
初始聚类中心优化选取的核C-均值聚类算法
3.
Optimizing initial cluster center of K-means algorithm
优化初始聚类中心的K-means算法
4.
An Optimization Initial Center K-means Algorithm for Text Clustering
一种优化初始中心点的K-Means文本聚类算法
5.
K-means Initial Clustering Center Optimal Algorithm Based on Partitioning
基于划分的K-均值初始聚类中心优化算法
6.
Improved Fuzzy C Means Clustering Algorithm Based on Selecting Initial Clustering Centers
基于初始聚类中心选取的改进FCM聚类算法
7.
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
8.
The comparative research of initializing cluster centers for unsupervised classification
非监督分类中初始聚类中心法的比较研究
9.
The Sorting of Frequency Hopping Signals Based on K-Means Algorithm with Optimal Initial Clustering Centers
基于优化初始聚类中心K-Means算法的跳频信号分选
10.
Research on Problems Related to the Initial Center Selection in K-means Clustering Algorithm;
K-均值聚类算法初始中心选取相关问题的研究
11.
Algorithm for Initialization of K-Means Clustering Center Based on Optimized-Division
基于最优划分的K-Means初始聚类中心选取算法
12.
K Mean Cluster Algorithm with Refined Initial Center Point
K均值聚类算法初始质心选择的改进
13.
Initialization Method for Intuitionistic Fuzzy Clustering Based on Density Function
一种基于密度函数的直觉模糊聚类初始化方法
14.
Research of initialization of subspace clustering algorithm in binary data
二元数据子空间聚类算法的初始化研究
15.
Optimized initial centers for fuzzy C-means algorithm
优化初始中心的模糊C-均值(FCM)算法
16.
A K-means Algorithm Based on Optimized Initial Center Points
一种优化初始中心点的K-means算法
17.
Type '%s' needs finalization - not allowed In file type
类型'%s'需要初始化-不允许在文件类型中
18.
This type cannot be Initialized
这一类型不能初始化