搜索资源列表
KNN
- 由于在网上没有找到数据挖掘中KNN的java算法，于是自己写了一个，对需要KNN的java代码的朋友，肯定会有帮助-Since the Internet does not find the java KNN data mining algorithms, so to write one, the java code that need to KNN friends will certainly help
RoughSet
- 可嵌入weka 的粗糙集分类算法程序 -Can be embedded in the rough set classification algorithm weka program
jknn
- 一个KNN原理的示范性代码，Java 编写，用于简单的聚类分析！-KNN principle demonstration of a code, Java is written for simple clustering analysis!
ml-knn
- code for K Nearest Neighbor algorithm in java
KNN
- A graphical software to illustrate the process of KDD (Knowledge Data Discovery) using the KNN (K near neighbor) method. The SW was developed in JAVA and is the code is commented. Works on linux and Windows.
KNN
- java实现KNN(k-Nearest Neighbor algorithm)算法,可以设置改变k值。-The code implement KNN（k-Nearest Neighbor algorithm）algorithm，and you can change the value of K.
KNN-Java
- KNN算法及其java实现；描述了KNN算法的思想和步骤，并给出java代码-KNN algorithm and its java implementation It describes the ideas and procedures of KNN algorithm, and gives java code
Knn-Classifier-master
- its a machine learning code
Classification
- KNN和贝叶斯文本分类，代码有点多，在运行的时候要提供训练文本-KNN and Bayesian text classification, code a little more run time to provide training text
KNN-Java-Code
- 1NN的Java源代码，存在于weka环境下，weka是一款很好的数据挖掘工具。-1NN Java source code exists in the weka environment, weka is a very good data mining tools.
wifiLocation
- 基于指纹定位的室内定位，在线匹配用的是KNN算法，文件中包含了客户端和服务器代码，需要自己配置好相应的数据库并部署好定位AP才能使用。-Fingerprint-based indoor location positioning, online match using KNN algorithm, the file contains the client and server code, you need to configure their own good and the appropriat
ML_project
- 程序是对手写体数字进行识别，用knn算法，代码编写是用java。训练样本和验证样本都在代码中提供了。-The program is to handwriting figures to identify, with knn algorithm, the code is written with java. Training samples and validation samples are provided in the code.
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)