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DBSCAN聚类
Python密度聚类
最近在Science上的一篇基于密度的聚类算法《Clustering by fast search and find of density peaks》引起了大家的关注(在我的博文“论文中的机器学习算法——基于密度峰值的聚类算法”中也进行了中文的描述)。于是我就想了解下基于密度的聚类算法,熟悉下基于密度的聚类算法与基于距离的聚类算法,如K-Means算法之间的区别。
基于密度的聚类算法主要的目标是寻找被低密度区域分离的高密度区域。与基于距离的聚类算法不同的是,基于距离的聚类算法的聚类结果是球状的簇,而基于密度的聚类算法可以发现任意形状的聚类,这对于带有噪音点的数据起着重要的作用。(The main goal of the density based clustering algorithm is to find high density regions separated by low density regions. Different from distance based clustering algorithm, the clustering results based on distance clustering algorithm are spherical clusters, and density based clustering algorithm can detect clustering of arbitrary shapes, which plays an important role in data with noisy points.)
- 2018-02-05 10:00:46下载
- 积分:1
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python运动检测
【实例简介】
- 2021-09-17 00:30:59下载
- 积分:1
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GeodesicActiveContour
GAC模型代码,很好的matlab代码,希望大家多多分享(GAC model code, good code matlab)
- 2011-05-06 13:18:41下载
- 积分:1
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kpdf
说明: fsk调制程序,用于软件无线电原理及应用课程等的程序(FSK modulation program for software radio principles and Applications)
- 2018-12-25 13:01:11下载
- 积分:1
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jieba分词代码
说明: 从文章或段落中划分词语,识别词性和统计词频,从而提取能显示内容中心关键词和高频词语(Dividing words from articles or paragraphs, identifying parts of speech and counting word frequencies, so as to extract keywords and high-frequency words that can display the content center.)
- 2020-06-23 17:00:02下载
- 积分:1
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gps点地图匹配
有需要的可以查看,对毕业生有一点帮助
- 2023-03-20 16:00:03下载
- 积分:1
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pdf_translate
可以把论文从英文翻译到中文,方便论文的阅读(Translate a English paper to Chinese.)
- 2018-01-29 17:56:21下载
- 积分:1
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计算语言学讲义中科院+刘群
自然语言处理语义分析演讲内容,入门者推荐学习(Text categorized corpus)
- 2020-06-21 18:40:01下载
- 积分:1
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Libsvm-2_6
支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题
(Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem)
- 2021-03-24 14:59:15下载
- 积分:1
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K-means有注释版本
K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为形心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各簇的形心的值,直至得到最好的聚类结果。(K-means algorithm is the most classical partition-based clustering method and one of the ten classical data mining algorithms. The basic idea of K-means algorithm is to cluster k points in space and classify the objects closest to them. Iteratively, the values of centroid of clusters are updated one by one until the best clustering results are obtained.)
- 2018-08-30 13:53:12下载
- 积分:1