Description: Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. Platform: |
Size: 216064 |
Author:john |
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Description: 一种基于局部密度比权重设置模型的加权支持向量回归模型来单步求解多分类问题：该方法先分别对类样本中每类样本利用局部密度比权重设置模型求出每个样本的权重隶属因子,然后运用加权lib支持向量回归算法对所有样本进行训练,获得回归分类器,希望对大家有用!-Based on local density than the right to re-set model of weighted support vector regression models to single-step to solve multi-classification problems: The method is first on the type of samples, respectively, for each type of samples the use of local density than the right to re-set the model to derive the right of each sample weight attached to factor, and then use lib weighted support vector regression algorithm for all samples for training, access to regression classifier, hope useful for all of us! Platform: |
Size: 41984 |
Author:郭大 |
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Description: 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 Platform: |
Size: 827392 |
Author:无为 |
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Description: 最新PYTHON语言，用于自然语言处理。此程序用于对句子进行分类-Latest PYTHON language, used in natural language processing. This procedure used to sentence classification Platform: |
Size: 329728 |
Author:fanke |
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Description: 文本分类工具libsvm-2.9.zip
信息检索和数据挖掘的中用到的工具包，
里面有C++、JAVA、Python等多个语言版本-Libsvm-2.9.zip text classification tool for information retrieval and data mining tools used in the package, inside C++, JAVA, Python and other languages Platform: |
Size: 578560 |
Author:张杰 |
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Description: SVM中文分词分类器的python实现，在LINUX环境下运行不需太多配置和代码修改。-SVM for Chinese word classification python implementation running under LINUX environment without too much configuration and code changes. Platform: |
Size: 3557376 |
Author:钱钤 |
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Description: 多特征融合的分类方法,主要实现多核函数的分类归纳从而比较单核函数下特征描述不足(The classification method of multiple feature fusion mainly realizes the classification and induction of multi kernel functions, thus comparing the feature description of single kernel function) Platform: |
Size: 32768 |
Author:S_Ting
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Description: 贝叶斯定理是用数学的方法来解释生活中大家都知道的常识，而机器学习使用的各种算法中，最常见的就是贝叶斯定理。此代码为贝叶斯分类python代码，包含高斯贝叶斯分类器，多项式贝叶斯分类器和伯努利贝叶斯分类器，并有具体的数据例子进行仿真比较(Bias's theorem is a mathematical way to explain all the common sense in life, and machine learning using various algorithms, the most common is the Bias theorem. This code for Bias classification Python code, including Gauss, Bias classifier, polynomial Bias classifier and Bernoulli Bias classifier, and specific data examples for simulation comparison) Platform: |
Size: 1024 |
Author:fdy219517
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Description: 这些代码实例创建了一个有效的、可执行的原型系统：一个使用“0”（负面情绪）或“1”（正面情绪）对产品的评论（"评论的情感分类"的英文）进行分类的app。(These code instances create an effective and executable prototype system: a app that uses "0" (negative emotion) or "1" (positive mood) to comment on products (the sentiment classification of comments).) Platform: |
Size: 564224 |
Author:骤君崎
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Description: 利用Python对各类数据分析算法进行编写，文档包括数据预处理方法，相关的分类和回归分析的算法理论及实践，以及一些实例应用分析。(Use Python to write various data analysis algorithms, including data preprocessing methods, algorithm theory and practice of related classification and regression analysis, and some application analysis.) Platform: |
Size: 15582208 |
Author:Mr.Wxg |
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Description: 覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.) Platform: |
Size: 108544 |
Author:海浪中央 |
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Description: 本书介绍Python的计算机视觉编程，用清晰的Python示例，细致讲解对象识别、3D重建、立体图像、增强现实及其他计算机视觉应用技巧，给出了分析图像的工具与方法。内容：机器人导航、医学图像分析；图像映射与变换；多图像的3D重建；用聚类方法基于相似性和内容组织图像；基于视觉内容的图像检索技巧；实现图像内容分类和对象识别的算法；通过Python接口访问常用的OpenCV库。(This book introduces Python's computer vision programming. With clear Python examples, it elaborates on object recognition, 3D reconstruction, stereo image, augmented reality and other computer vision application techniques, and gives tools and methods for image analysis. Contents: Robot navigation, medical image analysis; image mapping and transformation; multi-image 3D reconstruction; image organization based on similarity and content using clustering method; image retrieval techniques based on visual content; algorithm for image content classification and object recognition; access to common OpenCV library through Python interface.) Platform: |
Size: 5047296 |
Author:qhxinshou |
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Search - classification python