Tag：clustering
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Time：2021-10-25
I happened to see the discussion of my partners: I don’t know the specific content, but it seems to be sayingLogin interface verification codeWhat happened. Verification code is a common problem in the testing process, so I can’t help thinking:How to identify and process the verification code efficiently in the process of automated testing, so […]
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Time：2021-10-19
Author | assEdit | CVReport | I love computer vision (wechat ID: aicvml) Unsupervised Person Re-identification via Softened Similarity Learning： Unsupervised pedestrian re recognition based on softening similarity learning Paper link: https://arxiv.org/abs/2004.03547 Code link: https://github.com/ryanaleksa… (Unofficial) First author: Yutian Lin (now an associate researcher at Wuhan University) Co authors: Hangzhou University of Electronic Science and […]
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Time：2021-10-12
origin Recently read < < my first algorithm book > > ([Japan] Ishida Baohui; Miyazaki Xiuyi)This series of notes is intended to use golang exercises K-means clustering algorithm Clustering is when multiple data are input, The operation of grouping “similar” data into groups. K-means algorithm is one of clustering algorithms. Firstly, k points are randomly […]
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Time：2021-10-10
K-means clustering algorithm clustering In unsupervised learning, the labeled information of training samples is unknown. The goal is to reveal the internal properties and laws of data through the learning of unmarked training samples, so as to provide a basis for further data analysis. Clustering is the most studied and widely used in this kind […]
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Time：2021-9-16
Original link:http://tecdat.cn/?p=22609 abstract This paper provides a set of methods for analyzing various finite mixture models. It includes not only the traditional methods, such as the EM algorithm of univariate and multivariable normal mixture, but also some newly studied methods reflecting the finite mixture model. Many algorithms are EM algorithms or based on em like […]
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Time：2021-9-14
Algorithm, algorithmClassification problemDataset datasetGenetic dataGradient descent methodK – means clusteringKernels kernelLinear modelLinear regressionMapping mappingRegression problemSupervised learningUnsupervised learningThe normal equations Professional English This work adoptsCC agreement, reprint must indicate the author and the link to this article Hacking
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Time：2021-9-14
[anatomy] cvpr2020 unsupervised domain adaptation via structurally regulated deep clustering This article is a 2020cvpr article. The article uses the clustering method for domain adaptation. The effect on common data sets has been outstanding for 20 years. Recent work is similar to this idea. Let’s investigate it. abstract Transfer learning solves the problem of inconsistent […]
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Time：2021-9-2
Data mining refers to the process of searching hidden information from a large number of data through algorithms, which is usually related to computer science, and achieves the above objectives through many methods, such as statistics, online analysis and processing, information retrieval, machine learning, expert system (relying on past experience rules) and pattern recognition. I […]
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Time：2021-8-16
Github_link_from:https://github.com/lawlite19/MachineLearning_Python Python implementation of machine learning algorithm catalogue Python implementation of machine learning algorithm 1、 Linear regression 1. Cost function 2. Gradient descent algorithm 3. Mean normalization 4. Final operation results 5. Implementation using linear model in scikit learn Library 2、 Logistic regression 1. Cost function 2. Gradient 3. Regularization 4. S-type function (i.e.) 5. […]
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Time：2021-7-28
Original link:http://tecdat.cn/?p=5673 Original source:Tuo end data tribal official account Article_ Twenty two_ Catch-22 is a novel written by American writer Joseph Heller. Based on the Second World War, the novel reveals an irrational, disorderly and nightmarish absurd world through the description of a series of events of the U.S. Air Force Flight brigade stationed on […]
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Time：2021-7-26
Original link:http://tecdat.cn/?p=22838 Problems in using iris dataset: R (a) Part: K-means clusteringThe data were clustered into two groups by K-means clustering method. Draw a graph to show the clusteringThe data were clustered into three groups by K-means clustering method.Draw a graph to show the clustering(b) Part: hierarchical clusteringThe observed values were clustered by full connection […]
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Time：2021-7-15
Four new tutorials have been added: Python artificial intelligence Chinese version 0 Preface 1 Introduction to artificial intelligence Basic use cases of artificial intelligence 3 machine learning pipeline Feature selection and Feature Engineering Classification and regression of supervised learning 6 prediction analysis of ensemble learning 7 through unsupervised learning detection mode 8. Build recommendation system […]
