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SymbolFotARCGIS
- 符号标准化既是组织数据生产的重要手段,又是科学管理数据的重要组成部分。建立标准的符号体系, 对于实现数据的规范管理和社会化信息共享服务具有十分重要的意义。 福建省国土资源信息中心于 2003年 1月着手基于MAPGIS 地理信息系统的部分标准符号库建设,经过 一年多的努力,克服了技术上的种种困难,至目前为止已制作完成适用于土地利用现状、土地利用规划, 矿产资源规划及城镇地籍等数据库建设的符号库,共计约 2400 多个符号。此项目开展初期就得到国
ashu
- this rar contain the graphical demonstration of boolean operations on fuzzy sets, the discr iption of fuzzy set and the c source code for fcm clustering algorithm.
11Vol5No5
- IDENTIFICATION AND DELINEATION OF QRS COMPLEXES IN ELECTROCARDIOGRAM USING FUZZY C-MEANS ALGORITHM
Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo
- A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl
3Vol27No1
- A COMPARATIVE ANALYSIS BETWEEN K-MEDOIDS AND FUZZY C-MEANS CLUSTERING ALGORITHMS FOR STATISTICALLY DISTRIBUTED DATA POINTS
yang-n-59-bias-correction
- A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
IJSRON1201344
- Generalized Spatial Kernel based Fuzzy C-Means Clustering Algorithm for Image Segmentation
296-995-1-PB
- IMAGE SEGMENTATION BY FUZZY C-MEANS CLUSTERING ALGORITHM WITH A NOVEL PENALTY TERM
HWFCM
- 几种混合模糊c均值聚类算法的改进文献,可供学习者参考-Several hybrid fuzzy c-means clustering algorithm literature, provide a reference for the learners
Suitable-sampling-technique
- Suitable sampling technique in contextual fuzzy c-means classification of remotely sensed data for land cover mapping