搜索fuzzy C-means共有 11 个结果

---

1

基于知识量加权的直觉模糊均值聚类方法

Weighted knowledge amount-based intuitionistic fuzzy C-means method

Guo Kaihong

Wu Zheng

Li Dong

knowledge measure

intuitionistic fuzzy C-means method

weighted data

initialization of the cluster

2023年第4期 : 1088-1094 doi:10.19734/j.issn.1001-3695.2022.07.0444

2

自适应多维特征减少的模糊C-均值遥感图像分割算法

Fuzzy C-means clustering with adaptive multiple features reduction for remote sensing image segmentation

Wang Yuan

Liu Cong

Tang Jiangang

remote sensing image segmentation

super-pixel

multi-feature

fuzzy separation measure

feature-reduction

2022年第3期 : 906-910 doi:10.19734/j.issn.1001-3695.2021.06.0290

3

紧邻类与小类数据集下的模糊聚类有效性指标

Fuzzy cluster validity index under datasets with adjacent class and small class

Geng Jiayi

Qian Xuezhong

Zhou Shibing

fuzzy C-means(FCM)

clustering validity

optimal clustering number

fuzzy degree

2020年第9期 : 2651-2655 doi:10.19734/j.issn.1001-3695.2019.04.0117

4

基于模糊蚁群的加权蛋白质复合物识别算法

Algorithm for identifying weighted protein complexes based on fuzzy ant colony clustering

Mao Yimin

Liu Yinping

Hu Jian

protein-protein interaction(PPI) network

ant colony clustering algorithm

fuzzy C-means(FCM)

fitness

protein complex

2020年第5期 : 1340-1348 doi:10.19734/j.issn.1001-3695.2018.10.0799

5

几何距优化质心结合隶属度约束RFCM的脑MRI图像分割算法

RFCM magnetic resonance brain image segmentation algorithm based on geometric distance optimization of centroid and membership constraints

Nan Lili

Deng Xiaoying

image segmentation

soft set theory

centroid calculation

rough area

fuzzy C-means

membership constraint

2019年第11期 : 3516-3520 doi:10.19734/j.issn.1001-3695.2018.07.0428

6

基于IFCM加权的SVDD硬件木马检测方法

Hardware Trojan detection method based on IFCM weighted SVDD

Wei Yanhai

Li Xiongwei

Zhang Yang

Hu Xiaoyang

Zhang Kunpeng

hardware Trojan

side-channel signals

improved fuzzy C-means method(IFCM)

support vector data description(SVDD)

membership degree

2019年第10期 : 3054-3057 doi:10.19734/j.issn.1001-3695.2018.05.0315

7

基于Canopy聚类的噪声自适应模糊C-均值算法

Improved fuzzy C-means clustering algorithm based on Canopy clustering

Chen Kai

Chen Xiuhong

Sun Huiqiang

clustering algorithm

Canopy algorithm

fuzzy C-means algorithm

local and non-local spatial information

2019年第7期 : 2200-2204,2218 doi:10.19734/j.issn.1001-3695.2018.01.0116

8

基于差异性采样的流数据聚类算法

Stream data clustering algorithm based on differential sampling

Qiu Yunfei

Sun Mengran

differential sampling

fading cluster mechanism

kernel fuzzy C-means

stream data

time complexity

2019年第6期 : 1646-1651 doi:10.19734/j.issn.1001-3695.2017.12.0808

9

模糊C-均值聚类引导的Kinect深度图像修复算法

Kinect depth map inpainting under fuzzy C-mean clustering guidance

Wan Hong

Qian Rui

depth image

hole inpainting

fuzzy C-means algorithm

clustering

fast marching method

2019年第5期 : 1564-1568 doi:10.19734/j.issn.1001-3695.2017.12.0831

10

新模糊聚类有效性指标

New fuzzy clustering validity index

Geng Jiayi

Qian Xuezhong

Zhou Shibing

fuzzy C-means clustering

number of clusters

clustering validity index

fuzzy clustering

2019年第4期 : 1001-1005 doi:10.19734/j.issn.1001-3695.2017.10.0991

11

基于GASA-FCM混合聚类与霍夫变换的欠定混合矩阵估计

Underdetermined mixing matrix estimation algorithm using GASA-FCM based mixing clustering and Hough transform

Li Hu

Xu Yan

fuzzy C-means clustering algorithm

genetic algorithm

simulated annealing algorithm

Hough transform

mixing matrix estimation

2019年第2期 : 588-592 doi:10.19734/j.issn.1001-3695.2017.10.0932