搜索资源列表
k-means算法的Matlab实现以及Iris数据集
- k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)
极客内参-大数据开发实战-淘宝数据8
- 大数据环境搭建,主要是关于大数据分析的数据集。(Building big data environment)
cfnet_otb2013_results
- CF-net目标跟踪算法在OTB50数据集下的结果(Results of CF-net target tracking algorithm under OTB50 data set)
tensorflow
- 利用tensorflow对mnist数据集进行分类(classify the mnist dataset by tensorflow)
Synthesis
- 用于聚类的人工合成数据集,都是二维的,便于可视化(Artificial Composite Data Set for Clustering)
Dectree
- 决策树分类小程序,分类一个酒的类别数据集,数据集里有三类酒,利用matlab自带的决策树函数,根据数据集进行建模,预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision t
brazilian-ecommerce
- 巴西电商数据集,含九张分类表,可用于电子商务数据统计分析。(Brazilian e-commerce data set, including nine classifications, can be used for statistical analysis of e-commerce data.)
household_power_consumption
- UCI家庭用电数据集(Individual household electric power consumption Data Set ),包括日期、时间、有功功率、无功功率、电压、电流、厨房用电功率、洗衣服用电功率、热水器用电功率等属性,可用于回归、聚类分析等。(UCI Individual household electric power consumption Data Set, including date, time, act
wikipedia_info
- wikipedia跨模态(文本图像)数据集,可用于图像标注、跨媒体检索等领域。共十类,已标注。文本特征是10维LDA特征,图像特征是128维SIFT特征(Wikipedia datasets for cross-media retrieval, image annotation etc.)
决策树分类实验(乳腺癌)
- 决策树分类程序,包含使用的数据集和运行结果(Decision tree classifier, including data sets used and running results)
UCI经典二分类数据集
- UCI经典二分类数据集,可借助R或python进行分析学习(UCI Classic Bicategorized Data Set, which can be analyzed and learned by R or Python)
04.CNN处理CiFar
- 以python语言为基础,利用tensorflow机器学习架构,两层卷积神经网络实现,CiFar数据集图片分类功能。(Based on Python language, using tensorflow machine learning architecture, two-layer convolutional neural network, CiFar data set image classification function.)
MNIST_data
- MNIST数据集是一个手写体数据集,这个数据集由四部分组成,分别是一个训练图片集,一个训练标签集,一个测试图片集,一个测试标签集;我们可以看出这个其实并不是普通的文本文件或是图片文件,而是一个压缩文件,下载并解压出来,我们看到的是二进制文件。其中包含60000张手写体识别数字图片。(MNIST data set is a handwritten data set, which consists of four parts: a trai
北京市三甲医院基本数据(未精校)
- 训练数据集,包含各种三家医院,可以自己再筛选一下(Training data set, including a variety of three hospitals, you can filter yourself)
ARIMA数据集
- 这是关于ARIMA数据集,在进行arima预测时需要用到。(This is about the ARIMA data set, which is needed for ARIMA prediction.)
UCI(55个)
- 机器学习训练的数据集-UCI数据集,包含55个数据集(Machine learning training data set -UCI data set, containing 55 data sets)
online_shopping_10_cats
- 中文情感分类数据集。10 个类别(书籍、平板、手机、水果、洗发水、热水器、蒙牛、衣服、计算机、酒店),共 6 万多条评论数据,正、负向评论各约 3 万条。(There are 10 categories (book, tablet, mobile phone, fruit, shampoo, water heater, Mengniu, clothes, computer, hotel) in Chinese emotion class
MNIST_data
- MNIST数据集是机器学习领域中非常经典的一个数据集,由60000个训练样本和10000个测试样本组成,每个样本都是一张28 * 28像素的灰度手写数字图片。(The MNIST data set is a very classic data set in the field of machine learning. It consists of 60,000 training samples and 10,000 test sampl
波恩癫痫脑电
- 伯恩脑电癫痫数据集,包含五个数据,每个数组有100 个数据。(Bonn EEGdatasets,include 5 sets which has 100 subsets,and every subsets includes 4097 points.)
贝叶斯分类
- 通过python进行编程,运用贝叶斯算法原理,对iris数据集进行分类(Classification of iris data sets by Bayes)