搜索资源列表
AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
Untitled5
- 数学建模中的一个遗传算法，以生物理论为基础，是数模中的常用的基本算法。-Mathematical modeling of the genetic algorithm
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-K-MEANS algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
apriori
- 经典Apriori算法的优化，并在商场消费者消费数据集上进行测试，挖掘频繁模式-Optimization of classical Apriori algorithm, and tested in store consumer data sets, frequent pattern mining
gas-meter-reading
- 无线通信技术已经运用在我们生活的每个角落，然而由于现实传输的复杂性和不确定性，同时无线信道存在着慢衰落、快衰落效应，会一定程度上造成资源的浪费和通信质量的下降。协同通信是近些年来无线通信研究的热点，它相对于传统无线通信技术在降低成本、节约资源等方面具有明显的优势。协同通信中，中继选择算法根据遵循的标准不同有着不同的算法-Wireless communication technology has been applied in every corner of our life. However,
Gradient-Descent
- 梯度下降算法示例，二元函数求最值，可直接运行，有注释-Gradient Descent algorithm
kmeans
- 利用了matlab编程，结果实现k-means算法-Use matlab programming, k-means algorithm to achieve results. . .
OPTICS-algorithm
- optics 算法作为基于密度的聚类算法的一种重要的改进，十分有借鉴的意义。-Called algorithm for clustering algorithm based on density is an important improvement, very have reference significance.
the-APRIORI-algorithm
- 实现Apriori算法，应用于如下的数据（给定参数），挖掘频繁项集 -an example for Apriori algorithm in data mining
BIRCH-Algorithm
- 本代码是关于数据挖掘的层次聚类算法的编程实例，请勿用于商业用途上-The code is the programming examples on data mining hierarchical clustering algorithm, not for commercial use
K_Means-algorithm
- very useful matlab code for K_Means Algorithm it can be use after change the given input data or use the original one that i provided with the code you can start by run K_Means_Clustering.m
carrot2-algorithm-synthetic
- 开源搜索引擎Carrot2的层次聚类算法，由波兰学者Osinski编写。-Hierarchical clustering algorithm Carrot2 of open source search engine, prepared by the Polish scholar Osinski.
semi-supervised-cluster-algorithm
- 半监督聚类是利用少量的标记数据提高聚类算法的性能，文中综述了半监督聚类算法的若干进展-Semi supervised clustering is a method to improve the performance of clustering algorithm by using a small amount of labeled data,Some advances about semi supervised clustering algorithms are reviewed in thi
Cao-algorithm-
- Cao 算法，用于求解分形维数，研究混沌问题，我已经亲自试过啦。-Cao algorithm can be used to obtain the fractal dimension. I have been tested it.
E-Algorithm
- 用于数据挖掘分类的算法，E-Alothm，并附有10个左右的KEEL专用数据集，算法实现+实际例程。-For the data mining classification algorithm, E-Alothm, and with 10 or so KEEL dedicated data set, the algorithm to achieve+ practical routines.
FM algorithm
- 因子分解机( FM)算法是一种基于矩阵分解的机器学习算法，是一种常用的推荐算法。(Factorization algorithm is a matrix-based machine learning algorithm, which is a commonly used recommendation algorithm.)