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
Apriori-Algorithm
- 频繁模式挖掘的算法Apriori算法，用C++语言实现。-frequent pattern mining
isodata-cluster
- isodata迭代自组织聚类算法源代码，直接运行，效果不错-Iterative Selforganizing Data Analysis cluster algorithm，source code without error
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
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.
algorithm
- 多线性SVM分类器，在实现分类的同时，能很好的聚类-Multi-linear SVM classifier to classify the same time, can be a good clustering
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.
Relief
- Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
PPCA
- 概率 PCA algorithm，matlab程序 -Probabilistic PCA algorithm，matlab code
data-mining
- 常用的一些数据挖掘算法，包括Apriori,SVM,神经网络，遗传算法，K-means。-some commonly used data-mining algorithms,including Apriori,SVM,Neural Network，Genetic algorithm，K-means
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.)
雷达matlab仿真，波束形成，角度测量，跟踪等等
- 波形设计算法，阵列信号处理等相关知识的介绍仿真等(Introduction and Simulation of waveform design algorithm, array signal processing and other related knowledge)