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Description: breast cancer dataset，是研究支持向量机，样本选择方法，核方法的一个非常重要的数据集-breast cancer dataset, is to examine the support vector machine, sample selection methods, nuclear methods of a very important data set
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Author: wct |
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Description: Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from
http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp -Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359 (9306) :572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer. gov/ncifdaproteomics/ppatterns.asp
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Size: 147456 |
Author: 张山 |
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Description: 基于weka平台的数据挖掘方法，改进特征基因选择过程，使得癌症分类精度更高-Weka platform based on data mining methods, to improve the characteristics of gene selection process, making cancer a higher classification accuracy
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Size: 3584000 |
Author: 王莲花 |
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Description: matlab里读取*.csv文件，进行数据处理-matlab Lane read*. csv file, for data processing
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Size: 1024 |
Author: yhm |
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Description: 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an important case of pattern recognition.
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Size: 622592 |
Author: 苏冠华 |
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Description: 乳腺癌分类程序，带有部分的原始数据，非常好-Breast cancer classification procedures, with part of the raw data, very good
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Size: 3768320 |
Author: Mike |
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Description: Matlab application for breast cancer detection. Also included .names and .data with more than 200 cases.
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Size: 62464 |
Author: jacxon4 |
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Description: 这是一个基本的数模题目的套路，分析数模聚类问题，例子是乳腺癌的诊断模型，过程为标准化数据，逐步回归，分析主要因素，聚类方法有距离法和神经网络法，均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standardized data, stepwise regression, analysis of major factors, clustering methods from the method and neural network are with source code and explanations
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Size: 624640 |
Author: 林云龙 |
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Description: 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
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Size: 47104 |
Author: jiaxing |
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Description: medical image fusion in breast cancer.
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Size: 252928 |
Author: mitesh |
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Description: 单层竞争神经网络的数据分类—患者癌症发病预测-Single layer neural network data classification in patients with cancer prediction
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Size: 46080 |
Author: zhangzhi |
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Description: 用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis
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Size: 707584 |
Author: 冯燕 |
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Description: 单层竞争神经网络的数据分类—患者癌症发病预测-Monolayer competitive neural network data classification- cancer in patients with predicted
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Size: 46080 |
Author: michael zhang |
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Description: 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。
-Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the pattern recognition of the important cases.
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Size: 623616 |
Author: wyq52103 |
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Description: Breast Cancer Data Clustering using various segmentation algorithms.
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Size: 177152 |
Author: PRASHANTH |
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Description: 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
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Size: 245760 |
Author: suzhonghua |
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Description: cooperlab.github.io: Software the Cooper Lab for Cancer Data Science at Emory University-cooperlab.github.io: Software the Cooper Lab for Cancer Data Science at Emory University
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Size: 24576 |
Author: Chao |
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Description: 分类数据集，一般用于机器学习，数据挖掘等(breast;cancer;wisconsin;data)
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Size: 5120 |
Author: 小蚂蚁呀
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Description: breast cancer dataset
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Size: 48128 |
Author: elordy
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Description: 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.)
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Size: 6144 |
Author: 张小明12345 |
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