资源列表
NB_All_Variables
- multi class naive bayes algorithm i coded for predicting football results
mixBern
- Just like EM of Gaussian Mixture Model, this is the EM algorithm for fitting Bernoulli Mixture Model. GMM is useful for clustering real value data. However, for binary data (such as bag of word feature) Bernoulli Mixture is more suitable.
datato1ofm
- Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.-Take categorical data matrix and transform whole matrix to binary sparse
text-mining
- text mining using R programming
google-analytics
- google analytics in R programming
wordcloud_new
- implementation of wordcloud
data--preprocessing-using-kdd-data-set
- Data Mining process model selected is KDD which starts selection of data.Initially the researcher has taken the Kddcup.data-10-perecnt which contains total of 311,027 records which includes both labeled and unlabeled records-Data Mining process model
Ashor
- Initialization Algorithm for k-means
SVM
- State vector machine with single class output. The code works on 32 bit numbers in IEEE 754 floating point format for single precision numbers.
libsvm-ranksvm-3.20
- RankSvm:实现了RankSvm，使用blas依赖库-RankSvm: realized RankSvm, use blas dependent libraries
knn
- 这是一个简单的测试knn算法的代码，便于初学者学习和理解knn算法-This is a simple test knn algorithm code, for beginners to learn and understand knn algorithm
K-MEANS
- k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation