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AN ADAPTIVE CLUSTERING ALGORITHM BASED ON THE POSSIBILITY CLUSTERING AND ISODATA FOR MULTISPECTRAL IMAGE CLASSIFICATION
ISODATA Possibility Clustering Fuzzy Clustering
2015/12/31
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
A Clustering Algorithm of Land Grades Based on Cloud Histogram
Land Grade Cloud Model Histogram Clustering Algorithm
2015/12/2
This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based ...
A New Model for Strategy Formulation Using Mahalanobis-Taguchi System and Clustering Algorithm
Strategy Formulation Clustering Mahalanobis-Taguchi System
2013/1/28
The devastating complexity of decision making in severe dynamic competitive environment of the universe, has forced the wise managers to have relevant strategic plans for their firms. In this paper, a...
基于改进型FCM算法的牛肉大理石花纹提取方法（Beef Marbling Extraction Based on Modified Fuzzy C-means Clustering Algorithm）
牛肉 大理石花纹 提取 模糊C均值
2010/12/29
提出了一种基于改进型模糊C均值聚类算法的牛肉大理石花纹提取方法。该方法结合了快速模糊C均值（FCM）聚类算法，对传统FCM算法中的隶属函数、聚类数C和初始聚类中心点选取方法进行了优化。试验表明，该方法使牛肉大理石花纹提取的准确度由76.2%提高到85.7%。
An Energy Efficient Distributed Clustering Algorithm for Ad Hoc Deployed Wireless Sensor Networks in Building Monitoring Applications
Clustering Algorithm Wireless Sensor Networks
2010/3/5
In recent years Wireless Sensor Networks (WSNs) have been deployed for Building Monitoring (BM) as they provide a low cost and reconfigurable alternative to centralized cable based sensor systems. Usi...
基于核K—均值聚类算法的植物叶部病害识别（Plant Leaf Disease Recognition Based on Kernel K-means Clustering Algorithm）
植物病害 病害识别 核K—均值聚类
2009/5/22
针对植物叶部病害图像的特点，首先对采集到的玉米病害彩色图像采用矢量中值滤波法去除噪声，然后提取玉米病叶彩色图像的纹理特征和颜色特征作为特征向量，利用Mercer核，把输入空间的样本映射到高维特征空间进行K—均值聚类以及植物病害识别。试验涉及的4种玉米病害识别正确率达82.5%，核K—均值聚类方法适合玉米叶部病害分类。
OBJECT EXTRACTION FROM LIDAR DATA USING AN ARTIFICIAL SWARM BEE COLONY CLUSTERING ALGORITHM
Clustering LIDAR Artificial Bee Colony Urban Area Object Extraction
2016/3/1
Light Detection and Ranging (LIDAR) systems have become a standard data collection technology for capturing object surface
information and 3D modeling of urban areas. Although, LIDAR systems provide...