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own Java code. WEKA 是一个机器学习运算法则，它是为解决真实世界中的数据问题。它用java写成并且几乎可以在任何平台上运行。运算法则能够被直接应用到数据集上或者从你自己的java 码中调用。-own Java code. WEKA is a machine learning algorithms, it is to solve the real-world data. Using java can be written in almost any platform. Algor
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一个很有影响的加密库,实现了各种加密算法,是密码学习的重要源代码-a very influential encryption library that implements a variety of encryption algorithms, is an important learning password source code
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常用机器学习算法,java编写源代码,内含常用分类算法,包括说明文档-used machine learning algorithm, the preparation of java source code that contains commonly used classification algorithms, including documentation,
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数据挖掘中的一算法 ines算法 c下实现的。适合初学习数据挖掘者借鉴-data mining algorithms ines of an algorithm to achieve the c. Data for early learning from the dig
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在学习数字信号处理算法程序中用VC编写的几个通用算法程序。
卷积计算/DFT与FFT实现/-In the learning process of digital signal processing algorithms using VC General Algorithm for the preparation of several procedures. Convolution calculation/DFT and FFT realization /
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贝叶斯学习与强化学习结合技术的研
详细介绍了强化学习的算法和理论-Bayesian learning and reinforcement learning combined with the technical details of the study of reinforcement learning algorithms and theory
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0-1背包问题，算法设计中最常见也是最经典的问题，希望对学习算法的有所帮助-0-1 knapsack problem, algorithm design of the most common and most classic problems in the hope of learning algorithms help
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旅行商问题，算法设计中最基本也是最重要的问题，希望对学习算法的有所帮助-Traveling salesman problem, algorithm design the most fundamental and important question, want to help the learning algorithms
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层次分析法，一致性检验学习型算法，且以一个世纪问题来做分析-AHP, consistency test learning algorithms and the problem for analysis of a century
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偏最小二乘回归的学习，算法学习和编程中用到-Partial least squares regression of learning, learning algorithms and programming used in
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本文针对几种有代表性的流形学习算法进行了深入的研究，主要探讨了流形学习的框架理论相关研究及其在模式识别中的应用。 -In this paper, a representative of several manifold learning algorithms in-depth study, which focused on the theoretical framework of manifold learning research and its application in pattern
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In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
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Due to the explicit form of the mathematical expression which is analogous
to the descr iption of classic controller, the algorithms can be described as the
Proportional- Derivative (PD), Proportional-Integral (PI) and Proportional-Integral-
De
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Due to the explicit form of the mathematical expression which is analogous
to the descr iption of classic controller, the algorithms can be described as the
Proportional- Derivative (PD), Proportional-Integral (PI) and Proportional-Integral-
De
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一些常用的经典算法，用C++语言实现，值得参考学习。-Some commonly used classical algorithm, using C++ language, it is worth learning.
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K-均值聚类算法，属于无监督机器学习算法，发现给定数据集的k个簇的算法。
首先，随机确定k个初始点作为质心，然后将数据集中的每个点分配到一个簇中，为每个点找距其最近的质心，
将其分配给该质心对应的簇，更新每一个簇的质心，直到质心不在变化。
K-均值聚类算法一个优点是k是用户自定义的参数，用户并不知道是否好，与此同时，K-均值算法收敛但是聚类效果差，
由于算法收敛到了局部最小值，而非全局最小值。
K-均值聚类算法的一个变形是二分K-均值聚类算法，该算法首先将所有点作为一个簇，然
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用递归的思想实现了有趣的排列组合问题！六对括号在符合括号组合规则的前提下有多少中可能情况！
其中的排列 组合算法值得借鉴，对问题的建模及实现也精彩十分-Achieved with the idea of recursion interesting permutations problem! Six pairs of parentheses the number of possible cases in the context of compliance with
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数据挖掘中的经典算法，机器学习领域常用的KNN临近学习算法，可用于文本向量分类等用途。-Classical data mining algorithms, machine learning algorithms commonly used KNN approaching learning can be used for text vector classification purposes.
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spark 图书 SPARK MLLIB机器学习 算法、源码及实战详解 ,黄美灵著 ,P392.pdf(Machine learning algorithms, source code and actual combat detailed, Huang Meiling)
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SVD算法不光可以用于降维算法中的特征分解，还可以用于推荐系统，以及自然语言处理等领域。是很多机器学习算法的基石。内含电影平分数据集(SVD algorithm can be used not only in feature decomposition of dimension reduction algorithm, but also in recommendation system, natural language processing and other fields. Is the c
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