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Search - iris recognition - List
[
AI-NN-PR
]
IRIS数据
DL : 0
IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
Date
: 2026-01-07
Size
: 4kb
User
:
王超
[
AI-NN-PR
]
shibie
DL : 0
模式识别感知器算法实现(样本分类),基于iris数据-Pattern recognition algorithm perceptron (sample classification), based on the iris data
Date
: 2026-01-07
Size
: 1kb
User
:
wg
[
AI-NN-PR
]
VC_eyesphere
DL : 0
Date
: 2026-01-07
Size
: 284kb
User
:
mtps
[
AI-NN-PR
]
Iris
DL : 0
模式识别,对iris数据进行分类,svm算法-Pattern recognition, classification of iris data, svm algorithm
Date
: 2026-01-07
Size
: 3kb
User
:
刘期烈
[
AI-NN-PR
]
hongmo
DL : 0
虹膜识别的程序,基于matlab,可供初学者参考、学习-Iris recognition procedure, based on matlab, a reference for beginners to learn
Date
: 2026-01-07
Size
: 1kb
User
:
吴梦
[
AI-NN-PR
]
ISODATA
DL : 0
模式识别下的ISODATA算法 例子为IRIS数据库数据-ISODATA algorithm for pattern recognition under the examples for the IRIS database data
Date
: 2026-01-07
Size
: 3kb
User
:
wangqiang
[
AI-NN-PR
]
ann
DL : 0
BP神经网络实现算法,测试数据时iris数据集,识别率在95 以上-BP neural network algorithm, test data, iris data set, more than 95 recognition rate
Date
: 2026-01-07
Size
: 1.31mb
User
:
董金威
[
AI-NN-PR
]
Biometrics2010
DL : 1
生物识别:指纹、人脸、虹膜、头骨及静脉识别是最有应用价值的几个,本代码是静脉识别的C++代码,具有极高的参考价值。-Biometrics: fingerprint, face, iris, skull and intravenous application of recognition is the most a few, the vein identification code is C++ code, with a high reference value.
Date
: 2026-01-07
Size
: 23kb
User
:
zgabg
[
AI-NN-PR
]
nonideal-iris-recognition
DL : 0
一篇有关使用水平集方法分割虹膜之后用遗传算法提取虹膜特征值并使用不对称的SVMs来进行匹配的虹膜识别算法的文章-A level set method for the use of the genetic algorithm after the split iris iris feature extraction and use of asymmetric SVMs value to match the iris recognition algorithms article
Date
: 2026-01-07
Size
: 1.14mb
User
:
Chen Jun
[
AI-NN-PR
]
IrisDC06
DL : 0
分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器),该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用,例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集,对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较,总结出了各种算法的特性,为使用者选择算法或研究者改进算法提供了依据。-Classification of data mining, machine learning and pattern recognition is an important area of research. The purpose of classification is to learn a classification model (called classifier), the model can unknown types of data items mapped to a given category. Currently the more mature types of classification algorithms such as decision trees, neural networks, Bayesian methods, genetic algorithms. Classification with a wide range of applications such as medical diagnosis, credit card system, credit rating, image pattern recognition. The graduation project by using the Iris genus (IRIS) data sets, data mining has on the current outstanding representative of the analysis and comparison of classification algorithms, summed up the characteristics of various algorithms for researchers to improve the user selection algorithm or algorithm provided.
Date
: 2026-01-07
Size
: 567kb
User
:
江霞
[
AI-NN-PR
]
GRNN
DL : 0
本算法是matlab神经网络工具箱提供的函数建立了利用GRNN和RNN分别建立各个属性及属性组合与鸢尾花种类间的识别模型。-The algorithm is matlab neural network toolbox provides functions to establish the use of GRNN and RNN were established with various attributes and attribute combinations between species of iris recognition model.
Date
: 2026-01-07
Size
: 3kb
User
:
[
AI-NN-PR
]
Iris-data
DL : 0
鸢尾花数据,包含三组数据,用于模式识别的基本实验练习-Iris data for pattern recognition of basic laboratory exercises
Date
: 2026-01-07
Size
: 1kb
User
:
junexa
[
AI-NN-PR
]
KNN
DL : 0
模式识别大作业K近邻算法(KNN)C++实现,内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
Date
: 2026-01-07
Size
: 2.26mb
User
:
VanillaChow
[
AI-NN-PR
]
Kjunzhi
DL : 0
模式识别大作业K均值算法matlab平台实现,内有iris数据用于测试一起其他相关资料。-Pattern Recognition great job K-means algorithm matlab platform implemented within the iris data used for testing along with other relevant information.
Date
: 2026-01-07
Size
: 219kb
User
:
VanillaChow
[
AI-NN-PR
]
c-mean-value
DL : 0
学习模式识别时候,会用到C均值处理一些数据。其中处理Iris数据是一个典型的问题,本例子由本人编写,为了完成其数据的分类。总共150个4维数据,将它分为三类。每个数据原归属于三类。-Learning pattern recognition when used C-means to deal with some data. Which deal with Iris data is a typical problem, the examples of which I am writing, in order to complete its data classification. A total of 150 4-dimensional data, and it is divided into three categories. Each data of the original vesting in three categories.
Date
: 2026-01-07
Size
: 7kb
User
:
冯嘉贲
[
AI-NN-PR
]
k-iris
DL : 0
模式识别中用于完成数据的分类而用到的一种方法-k近邻。是将已有数据划分到3个类中,本方法中解决数据Iris数据的划分问题。将150个4维数据划分到3类。K近邻法是求最近的K个元素从而将其划分到已有类中。-Pattern recognition for the completion of the classification of the data used in a way-k neighbors. The existing data are divided into three classes, the method to solve data Iris data partitioning problem. 150 4-dimensional data is divided into three categories. K-nearest neighbor method is to seek the nearest K elements which can be divided to the existing class.
Date
: 2026-01-07
Size
: 9kb
User
:
冯嘉贲
[
AI-NN-PR
]
PatternRecognition
DL : 0
(1)Bayes分类 已知N=9, =3,n=2,C=3,问x= 应属于哪一类? (2)聚类 使用c-均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA(KPCA)方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which category? (2) Cluster C-means clustering algorithm using cluster analysis on IRIS data (3) discriminant analysis Pattern recognition tasks completed on ORL face database standard or Yale. With PCA and nuclear-based PCA (KPCA) method to complete the reconstruction of the face image recognition test.
Date
: 2026-01-07
Size
: 7kb
User
:
刘宏
[
AI-NN-PR
]
Iris-Recognition
DL : 0
基于特征提取算法和2D-Gabor滤波器算法的虹膜识别。-Iris recognition algorithm based on feature extraction and 2D-Gabor filter algorithm.
Date
: 2026-01-07
Size
: 937kb
User
:
庆
[
AI-NN-PR
]
beyes
DL : 0
贝叶斯分类 模式识别 鸢尾花数据分为四类-Bayesian classification pattern recognition iris data into four categories
Date
: 2026-01-07
Size
: 32kb
User
:
weishuang
[
AI-NN-PR
]
模式识别代码
DL : 0
基于matlab的Iris、乳腺癌数据集的模式识别分类算法,含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码,用于聚类效果良好,是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorithm +SVM, ISODATA, perceptron algorithm, LMSE, neural network and so on. It is used for good clustering results and is a reference for pattern recognition.)
Date
: 2026-01-07
Size
: 6kb
User
:
张小明12345
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