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DBSCAN-master

于 2020-08-04 发布

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下载积分: 1 下载次数: 2

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代码说明：

说明：无监督学习，基于密度的聚类算法，实现分类(Unsupervised learning, density based clustering algorithm to achieve classification)

文件列表：

DBSCAN-master, 0 , 2015-11-06
DBSCAN-master\2spirals.png, 82089 , 2015-11-06
DBSCAN-master\DBSCAN.m, 2588 , 2015-11-06
DBSCAN-master\datasets, 0 , 2015-11-06
DBSCAN-master\datasets\clusterincluster.m, 960 , 2015-11-06
DBSCAN-master\datasets\corners.m, 1092 , 2015-11-06
DBSCAN-master\datasets\crescentfullmoon.m, 557 , 2015-11-06
DBSCAN-master\datasets\datasets.png, 37622 , 2015-11-06
DBSCAN-master\datasets\halfkernel.m, 685 , 2015-11-06
DBSCAN-master\datasets\outlier.m, 836 , 2015-11-06
DBSCAN-master\datasets\readme.txt, 47 , 2015-11-06
DBSCAN-master\datasets\twospirals.m, 1059 , 2015-11-06
DBSCAN-master\demo.m, 1090 , 2015-11-06
DBSCAN-master\demo_stepwise.m, 3789 , 2015-11-06
DBSCAN-master\license.txt, 1314 , 2015-11-06

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The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

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2018-04-28 13:54:56下载

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用最小二乘支持向量机的算法做一个对正弦波信号的跟踪，跟踪效果很好(Using least squares support vector machine algorithm to make one pair of sine wave signal tracking, tracking works well)

2013-10-03 17:23:14下载

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基于LMS.MVDR的波束形成函数库，并有例子说明。(beamforming1)

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