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Description: K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
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Size: 2048 |
Author: wang |
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Description: KNN算法用JAVA实现,在WEKA平台上实现-KNN algorithm using JAVA realize, in the WEKA platform realize
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Size: 5120 |
Author: longhaoqiu |
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Description: knn文本分类算法，大家都来下载吧
免费的啊-KNN text categorization algorithms, we all to download it for free, ah
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Size: 4962304 |
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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
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Size: 221184 |
Author: 高阳 |
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Description: k最临近算法，希望大家相互交流，互相提高。-most k approaching algorithm, hope that we exchange with each other to improve.
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Size: 410624 |
Author: 崔涛 |
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Description: This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
are among the most influential data mining algorithms in the research community.With each
algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and
reviewcurrent and further research on the algorithm. These 10 algorithms cover classification
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Size: 635904 |
Author: ParisM |
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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
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Size: 2048 |
Author: sofi |
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Description: knn算法,希望对大家有用.这是上部分,接下去我还会上传下部分,和中部分-knn algorithm, we want to be useful. This is the last part, it follows that I will upload the next part, and in some
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Size: 1290240 |
Author: luwanming |
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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
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Size: 1024 |
Author: 陈洁 |
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Description: 这是一个KNN聚类程序，大家共同学习,希望对大家有帮助!-This is a KNN clustering procedure, we learn together, we hope there is help!
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Size: 1024 |
Author: y |
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Description: 国外网站下载的程序包，包含mindist_classifier_type，pca，PNN，svm等几个算法程序，希望对大家有用。-Foreign website package, including mindist_classifier_type, pca, PNN, svm algorithm program, and several, we hope to be useful.
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Size: 5120 |
Author: keke |
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Description: 基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下-In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength
values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However,
the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data
calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees
(LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can
take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations
and reference points. We show that this technique can effectively accommodat
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Size: 1444864 |
Author: xuchen |
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Description: 这个我们导师的关于KNN算法的深度研究，很详细，针对这个算法也提出了很多核心的问题-We mentor depth study, the KNN algorithm is very detailed, this algorithm is also proposed many of the core problems
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Size: 295936 |
Author: bazhiqiang |
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Description: 这是一个分类算法，用python实现的。是一个很普遍但很好的分类。大家可以借鉴一下-This is a classification algorithm, using python implementation. Is a very common but very good classification. We can learn it
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Size: 902144 |
Author: 陈伟 |
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Description: 做了KNN分类算法的C++实现，希望感兴趣的下载-We do C++ KNN classification algorithm, and the hope of interest to download
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Size: 3969024 |
Author: Yusingh |
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Description: 实现一个knn 分类器。
使用欧氏距离作为度量距离
使用’my_order.m’函数脚本获得某个点最近的K 个邻居
使用’my_classify.m’函数脚本获得点的类型。
给定参数k，就可以调用这两个函数完成knn 分类器功能。
-Achieve a knn classifier. Using Euclidean distance as a measure of distance using the my_order.m function script to get a point K nearest neighbors use my_classify.m script to get the type of function points. Given the parameters k, we can call these two functions complete knn classification function.
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Size: 13312 |
Author: Tony Shao |
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Description: knn算法。成名的k紧邻算法，聚类算法，可以用作分类。希望帮到大家。-knn algorithm. K close to the famous algorithm, clustering algorithm, it can be used as a classification. We hope to help everyone.
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Size: 1024 |
Author: lee |
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Description: 通过比较欧氏距离，定义K值，实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)
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Size: 1024 |
Author: 长风诗月 |
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Description: 运用matlab对鸢尾花数据进行了基于knn算法的分类编程(Using MATLAB to classify iris data based on KNN algorithm, we can refer to it.)
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Size: 1024 |
Author: WYAYW |
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Description: 分类器的性能比较与调优:
使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。
使用不同分析三种分类器在实验中的性能比较，分析它们的特点。
本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers:
We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application.
The performances of three classifiers are compared and their characteristics are analyzed.
The data set used in this experiment is house and segment.)
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Size: 1301504 |
Author: Ryan112 |
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