搜索资源列表
MatLab Apriori
- Fortunately, a pseudo code for this algorithm is available in Chapter 6 (sample chapter available for free download) of Introduction to Data Mining. Let's start with loading the example dataset used in the PDF and creating a binary matrix representat
glcm
- Calculation for GLCM Features for an image dataset
grabit.m
- extract data points from a curve
cnn_mnist
- CNN over Mnist Dataset
minst_cnn
- CNN MNIST (include mnidt dataset)
VSFlexGrid控件
- 数据集绑定到VsFlexgrid控件，并实现了添加、删除、更改(ACCESS using ADO operation, to bind the dataset to vsFlexgrid controls and implements data sets add, delete, update.))
shujuk
- 多模态表情数据库，用于多模态的情绪识别，含音频，视频，图像。(CREMA-D Crowd-sourced Emotional Multimodal Actors Dataset)
alternating-reader-tf-master
- NLP英文阅读理解 数据集采用的CBT数据集(NLP QAsystem DATASET:CBT)
nodes
- full dataset for all model learning
jiqixuexi
- 编写代码计算信息增益，splitDataSet函数是用来选择各个特征的子集的，比如选择年龄(第0个特征)的青年(用0代表)的自己，我们可以调用splitDataSet(dataSet,0,0)这样返回的子集就是年龄为青年的5个数据集。chooseBestFeatureToSplit是选择选择最优特征的函数。(Write code to calculate the information gain.SplitDataSet function is used to select the featur
superresolution_dataset
- 用于图像超分辨成像应用的标准数据库，希望对初学者有用(A standard dataset for super-resolution imaging, hoping to be useful for beginners)
data
- dataset for face detection and recognition and can be used for surveillance system
chameleon-data.tar
- 人脸聚类常用数据集含有10*40张图片，pmg格式(The common dataset of face clustering contains 10*40 picture, PMG format)
模仿mnist数据集制作自己的数据集代码
- 自己的数据集制作,模仿mnist数据集，制作自己的数据集(based on the mnist dataset to make your own data)
代码
- 实现基于协同过滤的电影推荐算法，并在真实的数据集上与其他基准算法做 对比，实现电影推荐。(The implementation of collaborative filtering based film recommendation algorithm is implemented on a real dataset with other benchmarks. Comparison, the implementation of the movie recommendation.)
iris
- 对鸢尾花数据集进行模糊聚类，将模拟退火算法及遗传算法分别与模糊聚类算法结合，使聚类效果更好。(Fuzzy clustering of the Iris Dataset)
mnist_test_opencv
- 利用opencv的ML-SVM，进行·mnist数据集的训练分类。 同时包含该数据集的读取(use opencv's ML-SVM to carry out training classification of MNIST dataset. Including the reading of the data set)
deep-learning-HAR-master
- 一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI project. The dataset contains or
hartford_ct_weather_noaa_2010-2018
- Hartford Weather Data NYC include TMAX, TMIN, Wind AVG, PRCP
balidata
- standard image dataset