Description: knn分类器，是数字图像处理与处理中经常使用到的一种分类方法！-KNN Classifier is the digital image processing and handling are often used as a classification method! Platform: |
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Author: |
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Description: support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法.最紧邻分类也是比较经典的-support vector manchine and kNN classification of the source code. Support Vector Machine is a good comparison of data-processing method. s classification is relatively close to the classic Platform: |
Size: 48128 |
Author:武林芝 |
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Description: * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information.
* extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.
* sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries.
* ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module.
?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module.
?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module. Platform: |
Size: 10240 |
Author:陈延军 |
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Description: 目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺部病灶穿刺细胞学涂片,肺癌识别诊断率94180 ,假阳性率1185 ,假阴性率3135 ,肺癌分类识别率82190 ,核异型细胞识别率74120 "结论:/智能化肺癌早期细胞病理诊断系统0对肺癌细胞涂片诊断率高,克服了肺癌细胞病理诊断过程中取检细胞数量少,重叠细胞识别率低,涂片背景及染色差异等干扰因素,可辅助临床肺部病灶的穿刺细胞病理诊断"-Objective Design and develop a intelligent cytopathological lung cancer diagnosing system(ICLCDS) utilizing the latest computer technologies(including Reinforcement Lcaming Multiple Classifier Fusion and Dimcnsionality Reduction) and the cy-topathological knowledge on lung canccrcclls Methods We got information ofcclls and segregated cell regions in a slice image using an magi scgmcntouon a址orithm Sascd on reinforcement lcaming including rcconstmction of overlapped cell area Sascd on B一Spline and improved dcBoor-Cox Mcthoc} We comSincd multiple classifiers including Baycsian classific:Support Vector Machine(SVM)
classific K-Ncarcst NcighSour( KNN) and Decision c classific to achieve an accurate result of cytopathological lung cancer diag-nosis Results Experimental results on 1 200 cases randomly selected we as follows the accurate diagnosis rate for lung cancer idcn-tification was the false positive rate was 1. 8`J /c‘the false negative rate was 3. 3`J /c‘the type class Platform: |
Size: 221184 |
Author:高阳 |
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Description: KNN分类器，此分类器在模式识别中应用的相当广泛，他是整个模式识别过程中至关重要的一环-KNN classifier, this classifier in the application of a wide range of pattern recognition, he is vital to the whole pattern recognition process of a part Platform: |
Size: 1024 |
Author:学艺 |
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Description: 包含模式识别里很多函数的实现，分类器，KNN算法等，对学习者很有帮助-Include pattern recognition where a lot of function implementation, classifier, KNN algorithm, useful for learners Platform: |
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Author:zoukui |
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Description: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition Platform: |
Size: 2048 |
Author:sofi |
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Description: 实现ＫＮＮ分类器，很好用的代码，我们这边都用它哟，给大家分享一下-KNN classifier to achieve, good with the code, we here have used it yo to share with you Platform: |
Size: 1024 |
Author:陈洁 |
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Description: 使用matlab实现的KNN分类器，可以设置最近邻的个数-Implemented using the KNN classifier matlab, you can set the number of nearest neighbor Platform: |
Size: 1024 |
Author:jcli |
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Description: 一、用python或matlab编写一个KNN分类器
训练集为semeion_train.csv（手写体识别）
测试集为semeion_test.csv
计算在测试集上错误率（k=1,k=3,k=5,k=10）
?(1. Write a KNN classifier with Python or matlab
Training set is semeion_train.csv (handwriting recognition)
The test set is semeion_test.csv
The error rate is calculated on the test set (k=1, k=3, k=5, k=10).) Platform: |
Size: 67584 |
Author:苏日月 |
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