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一些非常有用的多
一些很有用的小波包多尺度分解与重构的资料-Some very useful multi-scale wavelet packet decomposition and reconstruction of information
- 2022-04-12 08:24:25下载
- 积分:1
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S3C2410的第十六部分
S3C2410的第十六部分--ADC和触摸屏接口的中文文档-S3C2410 the sixteenth part of ADC and touch screen interface of the Chinese document
- 2023-08-09 11:40:04下载
- 积分:1
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real estate property resource management source.
房地产商房产资源管理源码。-real estate property resource management source.
- 2022-05-12 17:22:24下载
- 积分:1
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cnode社区版
说明: cnode社区版微信小程序,实现cnode社区的微信小程序端展示(Cnode Community Edition)
- 2019-05-20 17:39:22下载
- 积分:1
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clk_freq
说明: 时钟分频,通用模块,可以分出任意频率时钟,FPGA Verilog(clock divider fpga verilog)
- 2020-06-22 07:40:02下载
- 积分:1
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聚类-k均值算法
说明: K-means算法是基于划分的思想,因此算法易于理解且实现方法简单易行,但需要人工选择初始的聚类数目即算法是带参数的。类的数目确定往往非常复杂和具有不确定性,因此需要专业的知识和行业经验才能较好的确定。而且因为初始聚类中心的选择是随机的,因此会造成部分初始聚类中心相似或者处于数据边缘,造成算法的迭代次数明显增加,甚至会因为个别数据而造成聚类失败的现象。(K-means algorithm is based on the idea of partitioning, so the algorithm is easy to understand and the implementation method is simple and feasible, but it requires manual selection of the initial number of clusters, that is, the algorithm is with parameters. The number of classes is often very complex and uncertain, so professional knowledge and industry experience are needed to better determine. Moreover, because the selection of initial clustering centers is random, some initial clustering centers will be similar or at the edge of data, resulting in a significant increase in the number of iterations of the algorithm, and even the phenomenon of clustering failure due to individual data.)
- 2020-06-21 17:40:01下载
- 积分:1
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8 led GPIO.X
start dspic 16 bit, 24fj128
- 2017-08-28 15:10:25下载
- 积分:1
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wzajqh
我的一个算法课程里面的Triomino Project, 用C++语言实现,()
- 2018-02-05 13:52:10下载
- 积分:1
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iniConfig
说明: 结合OOP方式,对Setup配置文件进行读写(R/W ini configuration files)
- 2020-07-24 23:27:54下载
- 积分:1
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C++笔试题目,对于找工作的人相信很有帮助的
C++笔试题目,对于找工作的人相信很有帮助的-C++ Written test subject to find a job for the people believe that useful
- 2022-05-31 14:38:37下载
- 积分:1