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k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .
- 2022-05-24 13:46:10下载
- 积分：1
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neural network C procedures for the Chapter 6
神经网络C程序的第6章-neural network C procedures for the Chapter 6
- 2022-01-27 17:30:06下载
- 积分：1
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遗传算法的源程序例子，对于初学者有很大帮助，建议多
遗传算法的源程序例子，对于初学者有很大帮助，建议多-Genetic algorithm source code examples are very helpful for beginners, the proposed multi-
- 2022-02-21 17:49:26下载
- 积分：1
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非常好的模式识别教材，适用于研究生教学，或者初学者
非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners
- 2022-01-26 01:52:01下载
- 积分：1
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该软件通过BP神经网络学习机制，能够对屏幕上的数字进行识别。...
该软件通过BP神经网络学习机制，能够对屏幕上的数字进行识别。-the software through BP neural network learning mechanism, to right on the screen digital identification.
- 2022-06-17 18:05:35下载
- 积分：1
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Chaos Theory for the study were very useful, which is collected
对于学习混沌理论的人很有用的，这也是搜集到的-Chaos Theory for the study were very useful, which is collected
- 2022-05-31 04:13:48下载
- 积分：1
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这个工具箱包含了重新
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
- 2023-08-03 15:45:04下载
- 积分：1
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该工具包提供七种神经网络的C语言实现方式，对那些真正学习神经网络的人有一定的帮助和指导意义。...
该工具包提供七种神经网络的C语言实现方式，对那些真正学习神经网络的人有一定的帮助和指导意义。-The kit provides seven neural networks realize the C language by means of neural networks to learn who the real people who have a certain degree of help and guidance.
- 2022-07-22 01:57:33下载
- 积分：1
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动态规划代码
Dynamic Programming Code for the TSP
- 2023-07-19 07:30:02下载
- 积分：1
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一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数
一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify
- 2022-02-11 22:55:39下载
- 积分：1
