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Description: BP学习算法应用——模式分类
应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。
将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。-BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.
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Size: 5120 |
Author: Michael_M |
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Description: 工作环境 .net 处理。bmp格式的虹膜图像，采用中科院虹膜库与在论坛提供的论文相对应。-Working environment. Net to deal with. bmp format iris images, the use of the Chinese Academy of Sciences iris database and the forum provided by the corresponding papers.
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Size: 115712 |
Author: 小兔兔牙 |
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Description: matlab实现pca算法，基于orl人脸数据库，有很高的识别率-matlab achieve the PCA algorithm, based on the ORL face database, a high recognition rate
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Size: 1024 |
Author: 秦晔 |
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Description: 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
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Size: 3072 |
Author: wangqiang |
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Description: isodata算法，针对的是iris数据库，代码可以直接运行，很好用。要是要用于自己的数据库，只需要把文件名，结构体信息修改下即可。-isodata algorithm, the iris against a database, code can be run, it just works. If the database to be used for their own, just to the file name, the structure of information can be modified.
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Size: 1065984 |
Author: 周丽霞 |
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Description: 设计一种BAYSE 分类器完成对IRIS 数据库的分类-Bayes classifier for iris database
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Size: 1024 |
Author: 张敏 |
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Description: 数据挖掘中 K中心点算法 测试数据为iris 数据库采用sql server 聚类算法-Data mining algorithms in test data for the K center iris database using sql server clustering algorithm
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Size: 13655040 |
Author: 赵新星 |
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Description: 应用bp算法实现对iris数据库的分类，iris数据库是人们广泛使用的用于模式分类的实例系统。它含有150个例子，分为三类，每个类由四个实数特征值描述，分别表示萼片（sepal ）长度，萼片宽度，花瓣（petal ）长度，花瓣宽度。问题是根据这四个特性值分类三种iris 植物，输入为四个特征值和类别 （5.1 3.5 1.4 0.2 0），输出算法分类结果 -Bp algorithms applied to the iris database, the classification, iris database is widely used for pattern classification of the instances of the system. It contains 150 examples, divided into three categories, each class consists of four real eigenvalue description, respectively sepals (sepal) length, sepal width, petal (petal) length, petal width. The problem is classified according to the value of these four characteristics of three kinds of iris plants, enter the four characteristic values and categories (5.1 3.5 1.4 0.2 0), the output algorithm classification results
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Size: 3072 |
Author: 姜丽 |
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Description: 用matlab编写的有关通用数据库中iris数据的验证程序
，希望对大家有所帮助-Prepared using matlab iris data in the common database verification procedures, we want to help
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Size: 1024 |
Author: li san |
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Description: First, select an input image clicking on "Select image".
Then you can
- add this image to database (click on "Add selected image to database"
- perform iris recognition (click on "Iris Recognition" button)
Note: If you want to perform iris recognition database has to include
at least one image.
If you choose to add image to database, a positive integer (iris ID) is
required. This posivive integer is a progressive number which identifies
a person (each person corresponds to a class).
-First, select an input image clicking on "Select image".
Then you can
- add this image to database (click on "Add selected image to database"
- perform iris recognition (click on "Iris Recognition" button)
Note: If you want to perform iris recognition database has to include
at least one image.
If you choose to add image to database, a positive integer (iris ID) is
required. This posivive integer is a progressive number which identifies
a person (each person corresponds to a class).
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Size: 983040 |
Author: fais |
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Description: segmentation of iris.... the dist from inner pupil taken is 32 pixels... grayscale images used from casia database.
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Size: 1024 |
Author: sarock |
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Description: 使用中科院虹膜数据库，实现了虹膜内外边界定位-Iris database using the Chinese Academy of Sciences, to achieve both inside and outside the iris boundary localization
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Size: 2048 |
Author: polar |
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Description: SASS v.2.1: Anthropometric Spreadsheet
and Database for the IRIS
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Size: 7264256 |
Author: eman |
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Description: 经典KFCM算法在iris数据库上的使用！-The classic KFCM algorithm in the iris database!
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Size: 8192 |
Author: ada |
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Description: Iris Recognition is a rapidly expanding method of biometric authentication that uses
pattern-recognition techniques on images of irides to uniquely identify an individual.
Algorithms produced by Professor John Daugman [1] have proven to be increasingly accurate
and reliable after over 200 billion comparisons [2]. The aim of this group project
is to implement a working prototype of the techniques and methods used for iris recognition,
and to test these methods on a database of irides provided by the Chinese Academy
of Sciences Institute of Automation (CASIA) [3], which consists of 756 images of irides
from 108 individuals-Iris Recognition is a rapidly expanding method of biometric authentication that uses
pattern-recognition techniques on images of irides to uniquely identify an individual.
Algorithms produced by Professor John Daugman [1] have proven to be increasingly accurate
and reliable after over 200 billion comparisons [2]. The aim of this group project
is to implement a working prototype of the techniques and methods used for iris recognition,
and to test these methods on a database of irides provided by the Chinese Academy
of Sciences Institute of Automation (CASIA) [3], which consists of 756 images of irides
from 108 individuals
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Size: 1153024 |
Author: Mohammad |
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Description: 在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
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Size: 9216 |
Author: 李毅 |
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Description: 用贝叶斯方法实现对IRIS数据库的分类处理。包括详细代码，可直接运行。-Bayesian methods to achieve the IRIS database classification. Including a detailed code, can be directly run.
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Size: 1024 |
Author: |
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Description: 利用线性判别分析实现对iris数据库的分类。代码可直接运行， 有详细注释。-Using linear discriminant analysis to achieve the classification of iris database. Code can be directly run, detailed notes.
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Size: 1024 |
Author: |
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Description: 利用主成份分析方法实现对IRIS数据库的分类处理。代码可直接运行， 有详细注释。-Using principal component analysis method to achieve the IRIS database classification. Code can be directly run, detailed notes.
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Size: 1024 |
Author: |
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Description: Fisher判别适合于两类的判别分析。本文采用的鸢尾花数据库中鸢尾花类别有三类，所以先采用Fisher判别对数据进行二分类判别分析，然后采用一对一进行多分类。(Fisher discriminant analysis is suitable for two kinds of discriminant analysis. There are three categories of iris in the iris database in this paper, so the Fisher discriminant analysis is used to classify the data into two categories. Then, one by one is used to classify the data)
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Size: 2048 |
Author: 赵宇轩
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