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SSFM_for_CNLSE_withPMD.m
PMd in optical fiber
- 2010-02-26 05:13:49下载
- 积分:1
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VUMT-Tsai-Wu
说明: 层合板纤维增强复合材料。复合材料蔡吴失效准则(CAI wu failure criterion)
- 2020-06-02 18:18:30下载
- 积分:1
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100%
说明: ecg to descripe the data
- 2019-05-13 22:45:49下载
- 积分:1
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* 采用插入排序法。
* 将8个单字节无符号数升序排列,数码管从左至右显示 8...
* 采用插入排序法。
* 将8个单字节无符号数升序排列,数码管从左至右显示 8-1。 *
* K1--- 查看最大值,K4--- 退出 *
* K2--- 查看最小值,K4--- 退出-* Use of Insertion Sort.* Will be eight single-byte unsigned number in ascending order, digital tube display from left to right 8-1.** K1--- See Max, K4--- out of** K2--- See minimum, K4--- quit
- 2022-02-04 15:03:01下载
- 积分:1
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nrf24l01发送程序
说明: nrf24l01发送程序,可以参考一下,stm32平台(NRF24L01 sending program, you can refer to STM32 platform)
- 2020-06-23 00:00:03下载
- 积分:1
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CDDrive1
detect cd rom on pc, read or write file in cd
- 2020-06-24 14:20:01下载
- 积分:1
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此算法是数据挖掘中的聚类算法,很经典,是一种基于统计思想的聚类算法...
此算法是数据挖掘中的聚类算法,很经典,是一种基于统计思想的聚类算法
- 2022-02-01 06:16:19下载
- 积分:1
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principle_of_PLL
本篇文章叙述了锁相环原理,是学习锁相技术不可多得一篇好文章(This article describes the principle of phase-locked loop, phase-locking technology is invaluable to learn a good article)
- 2008-08-09 16:34:13下载
- 积分:1
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Flash_TWRP_Redmi2
Flash_TWRP_Redmi 200
- 2020-06-20 16:00:02下载
- 积分:1
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数据挖掘中聚类算法研究进展_周涛
说明: 聚类分析是数据挖掘中重要的研究内容之一,对聚类准则进行了总结,对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结,就一些新的聚类算法进行了梳理,根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法,如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等,分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)
- 2019-05-12 14:08:07下载
- 积分:1