aldhyani

Score: 39
Uploads: 8
Downloads: 308
Create time: 2015-01-01 19:40:47

Upload log:
MATLAB Deep Learning (1).zip - Deep learning book using matlab
5077701-dzone-guidetobigdata-voliv.zip - This good book for bigdata
Automated Diabetic Retinopathy Detection.zip - Feature selection method using mtalb code
Load-forecasting.zip - COMPLET PROJCET TIME SERIES FORECASTING ON MATALB
Load-forecasting.zip - source code of time series forecasting for various models such as neural network all these source code on matalb
ARMAModelTest.zip - ARMA TIME SERIES FORECASTING BY USING c#
Hiding-Sensitive-Association-Rules.rar - data mining holding sensitive association rules
StockMarketPrediction.zip - prediction socket price by using neuralnetwork

Download log:
KNN_Matlab.rar - K近邻分类的Matlab算法,简单,适合初学,验证可用
knn.rar - 这是一个完善的KNN算法。算法清晰,备注明确,分类效果良好。
knn.rar - knn算法,用kNN算法对鸢尾花数据进行了分类
KNN_Matlab.rar - KNN classification algorithm
knn.kmeans.fisher.rar - 常用的分类方法,包括最近邻(NN),k均值(kmeans),k近邻,Fisher线性判别。
kNN.rar - 用matlab实现K近邻算法,用于数据挖掘的分类
Kdd-DT-NN.rar - network intrusion detection using decision tree for feature selection and neural network classifier
load-forecast-based-on-BP-network.zip - 该源码用BP神经网络预测电力系统短期负荷。电力负荷数值在输入神经网络前已经做了归一化处理。
knn.zip - 这个是一个matlab knn 算法。很好的,可以跑的。
Fingerprint-localization--code.rar - 室内指纹定位算法,内有NN,KNN,WKNN多种算法进行对比,可运行,有注释。
knn-softsvm-matlab.rar - matlab的knn网络,最小二乘算法,softsvm分类器实现,以及简单的交叉验证等,三种产检的方法
K---nearest-neighbour-classifier.zip - 采用快速K近邻与Kmeans聚类算法来计算前K个近邻,舍弃了一部分不可能成为待测样本的前K个近邻的训练样本,从而减少了计算量,提高了分类速度
knn_recognition.rar - knn(k-近邻)用于模式识别,实验所需数据已给出,适用于初学者加深对knn算法的理解。
KNNPandPneighborhoodPclassifier.rar - 模式识别knn分类器,matlab代码,k近邻算法
KNN.rar - 自己的模式识别的作业,matlab实现k近邻算法。
KNN.rar - Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.
KNN-classifier.rar - 用matlab实现KNN算法 用matlab实现KNN算法 用matlab实现KNN算法
KNN.zip - matlab编写的knn分类算法,在训练集中数据和标签已知的情况下,输入测试数据,将测试数据的特征与训练集中对应的特征进行相互比较,找到训练集中与之最为相似的前K个数据,则该测试数据对应的类别就是K个数据中出现次数最多的那个分类。
knn.rar - 最近邻算法(KNN)matlab代码实现,附数据集
knn_demo.rar - k近邻算法(knn, k nearest neighbor)

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