搜索结果: 1-10 共查到“Fuzzy C-Means”相关记录10条 . 查询时间(0.19 秒)
MULTI-PATCHES IRIS BASED PERSON AUTHENTICATION SYSTEM USING PARTICLE SWARM OPTIMIZATION AND FUZZY C-MEANS CLUSTERING
Particle swarm optimization Fuzzy c-means Taylor’s series expansion weighted mean Hamming distance Iris recognition system
2017/6/19
Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented ...
Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering
wildfire association rules fuzzification Ilam Province Iran
2018/3/6
In this study we evaluated forest fire risk in the west of Iran using the Apriori algorithm and fuzzy c-means (FCM)
clustering. We used twelve different input parameters to model fire risk in Ilam Pr...
FUZZY C-MEANS ALGORITHM FOR SEGMENTATION OF AERIAL PHOTOGRAPHY DATA OBTAINED USING UNMANNED AERIAL VEHICLE
fuzzy c-means segmentation clustering
2015/5/21
The report reviewed the algorithm fuzzy c-means, performs image segmentation, give an estimate of the quality of his
work on the criterion of Xie-Beni, contain the results of experimental studies of ...
Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System
Cutaneous Leishmaniasis Data Mining Fuzz C Means Clustering Neuro-Fuzzy Systems
2014/12/1
Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can ...
Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis
Change Detection principal component analysis fuzzy c-means clustering image differencing remote sensing bi-temporal satellite images
2014/4/22
Change detection analyze means that according to observations made in different times, the process of defining the change detection occurring in nature or in the state of any objects or the ability of...
Going Concern Prediction of Iranian Companies by Using Fuzzy C-Means
Going Concern Prediction Fuzzy C-Means
2013/2/23
Decision-making problems in the area of financial status evaluation have been considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Pred...
AUTOMATIC EXTRACTION OF ROCK JOINTS FROM LASER SCANNED DATA BY MOVING LEAST SQUARES METHOD AND FUZZY K-MEANS CLUSTERING
terrestrial laser scanning rock joint orientation moving least squares fuzzy K-means clustering
2014/6/5
Recent development of laser scanning device increased the capability of representing rock outcrop in a very high resolution. Accurate 3D point cloud model with rock joint information can help geologis...
The Study of Invasion Examination Algorithm Based on Improvement Fuzzy C Means
Clustering Data Mining Fuzzy C-Means Clustering Intrusion Detection Mountain Clustering Algorithm
2011/12/16
This paper put forward intrusion detection algorithm based on improved fuzzy C means (FCM) algorithm and execute the anomaly detection on KDDCUP data set, build intrusion detection system based improv...
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%。
Fuzzy C-means Clustering for 3D Seismic Parameters Processing
3D seismic parameters Structure and growth history Fuzzy C-means clustering
2009/12/3
3D seismic parameters can reflect the features of petroleum reservoir from different profiles. By analizing the3D seismic parameters, we can assess the parameters of the reservoir characterization, su...