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Description: 一个基于网格和最近邻居的聚类算法
Similarity(x, y) = size ( SKNN(x) SKNN(y) )，while Link(x, y)=1-a Grid-based, and the nearest neighbor clustering algorithm similarity (x, y) = size (SKNN (x) SKNN (y)), while Link (x, y) = 1
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Size: 2048 |
Author: 高雷 |
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Description: 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.-Mainly KNN (the k-nearest neighbor algorithm), LVQ1 (learning vector quantization 1), DSM (decision surface mapping) algorithm. and a simple clustering algorithm.
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Size: 12288 |
Author: sandy |
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Description: KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
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Size: 2048 |
Author: jack |
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Description: 一个聚类程序，基于贝叶斯最小错误率的判别，效果挺好的。-A clustering procedure, based on Bayesian minimum error rate of the discriminant, the effect quite good.
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Size: 5120 |
Author: wangxiangyu |
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Description: knn 方法为k均值聚类用于数据点的分类-KNN method for k-means clustering for the classification of data points
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Size: 27648 |
Author: |
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Description: K means clustering using php.
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Size: 3072 |
Author: Nada |
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Description: KNN clustering with php
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Size: 4096 |
Author: Nada |
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Description: c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation.
It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
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Size: 624640 |
Author: duckur |
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Description: 数据挖掘导论中的K近邻聚类算法，用C++编写而成。-Introduction to Data Mining of the K neighbors clustering algorithm, using C++ has been prepared by.
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Size: 440320 |
Author: 绍敏 |
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Description: k Nearest Neighbor matlab code
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Size: 1024 |
Author: Weronika |
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Description: 这是一个KNN聚类程序，大家共同学习,希望对大家有帮助!-This is a KNN clustering procedure, we learn together, we hope there is help!
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Size: 1024 |
Author: y |
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Description: 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!
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Size: 185344 |
Author: Hao Wu |
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Description: MATLAB 聚类和近邻搜索模块代码如下-MATLAB clustering and nearest neighbor search module code is as follows
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Size: 1024 |
Author: |
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Description: knn聚类算法的python描述，兼容python2.7 3.0以上版本-python knn clustering algorithm description, compatible python2.7 3.0 or later
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Size: 1024 |
Author: 李娟 |
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Description: K最邻近密度估计技术是一种分类方法，不是聚类方法。
不是最优方法，实践中比较流行。
通俗但不一定易懂的规则是：
1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。
2.选出最小的前K数据个距离，这里用到选择排序法。
3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
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Size: 1024 |
Author: 晓骸
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Description: 实现KNN聚类 聚类算法 最简单又实用的聚类方法 常用 适用于多领域(KNN clustering algorithm to achieve the simplest and practical clustering method, commonly used in many fields)
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Size: 1024 |
Author: 可爱的搬运工
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Description: 本代码实现多个方法对数据进行聚类，例如knn方法(This code implements multiple methods to cluster data, such as the KNN method)
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Size: 3329024 |
Author: gaomin
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Description: knn image recognition for matlab code
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Size: 129024 |
Author: rahmaatpurnama |
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Description: 机器学习/python入门项目一：聚类kNN(Machine learning / python entry project: clustering kNN)
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Size: 1183744 |
Author: 木子古月 |
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Description: 这是用于描述KNN聚类的python源代码，可以结合各位实际的需要使用(This is the python source code used to describe KNN clustering. It can be combined with your actual needs.)
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Size: 1024 |
Author: chentrer |
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