K means clustering in r工作

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    2,408 k means clustering in r 找到的工作,价格在 HKD
    NS3 Project... 6 日 left
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    ...schedule the state of different nodes in the wireless sensor network composed of 100 nodes with 13 cluster and 13 cluster head and 1 base station. So I already done the part of clustering, now I want to do the part of scheduling. So there are different states of nodes (receive transmit sleep ), broadcast and boot in different case I have the communication

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    ...for a mid to senior level python developer to assist me in building an application that mines court case information. This project is to build the first part of the file fetching system. It is extremely simple (and I've included a diagram of the process that I hope you review and make note of in your response). A few notes: - File downloading should

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    Want u to do oracle db clustering so servers can be run in active passive mode and cluster id can be generated.

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    GAN Analysis 3 日 left
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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture

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    Setup FailOver Clustering 3 日 left
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    Finish setting up failover clustering between 2 windows 2016 servers.

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    GAN Analysis 1 日 left
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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture

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    proof dbscan 已经结束 left

    dbscan clustering proof r programming

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    dbscan proof 已经结束 left

    machine learning question regarding clustering method of dbscan

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    Predictive Model 已经结束 left

    ...graphs and analysis 2. A framework that can run the appropriate analysis on a given input, a. Running buy/sell analysis on bitcoin (momentum analysis or moving average) b. K-Clustering on hashtag analysis (Is this tweet similar to this other tweet) c. Track a series of amazon products 3. A series of threaded crawlers that can crawl given data/topics and

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    ...infrastructure less and adaptive in nature. Vampire attacks is the type of resource depletion attacks in which a malicious node create and send the message with node. Vampire attacks choose the longest path and loss the battery power. We can reduce the vampire attacks with the help of clustering technique. Clustering is the process that divided the network

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    Data mining basics 已经结束 left

    DBSCAN algorithm and semi-supervised clustering

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    Data mining with familiarity of DBSCAN algorithm and semi-supervised clustering

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    Firstly, I want to implement online traffic classification means (built classifier in switch and controller) by (semi-supervised techniques on incremental kmeans) that classifies service types to (elephant flow and mice flow) in software defined networking (SDN). Secondly, After I will use the input types of traffic (elephant flow or mice flow) and

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    Making comparison between normal PCA & Kernelized PCA , normal kmeans & Kernelized K-Means, normal Logistic Regression & Kernelized Logistic Regression without using Sklearn. Detailed report.

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    Data mining with familiarity of DBSCAN algorithm and semi-supervised clustering

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    ...is a Databricks notebook. The data is at “video_creator – commentor_id – comment” granularity. What I want you to do is the following: 1. Remove comments that are not written in English. 2. For each commentor_id, append all his/her comments into one feature, call it “all_comments”. That is, aggregate the granularity of dataset into commentor_id –...

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    I am a Stanford researcher. VorteX is my open-source Java-based GUI tool for multivariate cluster analysis. T...open-source Java-based GUI tool for multivariate cluster analysis. The code needs some fixes enhancements, mainly a rewrite of the storage backend. Looking to hire someone fluent in Java and Swing hourly. [login to view URL]

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    Data Mining clustering R 已经结束 left

    Data Mining clustering, DBSCAN algorithm, semi-supervised clustering

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    Deploy the app to the Apple Developer Store. This project is specifically for Ways and Means Technology

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    Hi Ways and Means Technology, I noticed your profile and would like to offer you my project. We can discuss any details over chat. As per the discussion this project is for App Deployment on itunes connect account.

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    Hello Kaushal, ...package. Later the App has to be extended with features. Maps with custom markers, marker clustering. List view of items, Detail view of items with chat style commenting. Some business logic. Push notifications and authentication via Azure. Are you interested in that job? Are you available for the next weeks? Best regards Michael

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    Need an analysis done on a public figure (Ricky Gervais) through its twitter tweets using R language. Analysis to be performed: [login to view URL] of Twitter language about the Public Figure. 2.Clustering the Users Who Posted Tweets About the Public Figure. [login to view URL] Analysis of the User Clusters. Note: further instruction will be provided after hiring. Requirements:

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    ...to lag and get un-responsive. Following features will be updated in order to achieve better performance. Update Google Map library to latest version from GOOGLEPLAYSERVICES V8.3.0 TO GOOGLEPLAYSERVICE V15.0.1 Update Google Maps utilities from V0.4 TO 0.5 Load data from local database in BACKGROUND THREAD, currently is done on UI THREAD which is outdated

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    Image/Photo clustering 已经结束 left

    ...clustered based on who is in the photos (facial recognition) as best as possible. It may require k-means or other forms (openCV) to achieve this. The recognition dataset must be read from the original photos to obtain the facial references and then applied to the same photo stack to cluster them. The output for the clustering should be to copy+rename

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    I want to implement this project in the R programming language. I have a dataset for this project and upload the file. Dataset is about leukemia and colon cancer. It has 2000 var which shows the gene expression in the column of 47 samples. The dataset is labeled with its equivalent cancer type. I have attached dataset description file and a research

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    ...mechanism 2.A new clustering algorithm that doesn't exist so far identifying drawbacks from existing ones and rectifying it here 3.A new predictive model that could enhance life's by early detection of heart failures 4. Application of cognitive computing algorithms and show how best cognitive computing would yield better results in comparison with predictive

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    ...to keep coming back. We need some one to look into the code and files and clean it thoroughly and remove any backdoors or scripts that can reinfect the malware. P.S: Malware in this case is hidden code refering and linking to another website. I'm only looking for some one who can do this quick and with minimal budget. Add [your fav color] before

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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture

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    I have research paper for the paralel k-means algorithm implemented on hadoop map-reduce I need to apply the pseudo code of the paper exactly on Hadoop map-reduce to cluster given dataset in parallel

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    ...have the following things: - Java code ( methods ) that can do clustering of numerical and categorical and mixed data set - It might work if I combine the k-mean and k-mode - Any thing that will work with dataset the I mention above - Security (intrusion detection) might be included in some way - Security method that analysis data detect malicious things

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    ...have the following things: - Java code ( methods ) that can do clustering of numerical and categorical and mixed data set - It might work if I combine the k-mean and k-mode - Any thing that will work with dataset the I mention above - Security (intrusion detection) might be included in some way - Security method that analysis data detect malicious things

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    I need to create a database software mainly calculating daily Expenses and income and portraying it in a nice looking dashboard. Budget: $50

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    Labview based image segmentation using K means clustering algorithm.. If anyone is ready with this project, text me Thank you

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    Can we please connect regarding a Data Clustering project

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    I have java code for the k-means algorithm I need to apply this code on Hadoop map-reduce to cluster given dataset in parallel

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    I need a professional english writer...Abstract Syntrax Tree Differencing 1.2 ChangeDistiller 1.3 Gumtree - Fine-grained and accurate source code differencing 2. Machine Learning 2.1 unsupervised learning 2.2 Clustering (KMeans) 2.3 Topic Modeling (LDA) 2.4 Embeddings (word2vec) It is very important that you use only scientific papers as references!

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    I would like to produce a picture that shows what genetic algorithm does using known biological pictures. You will use attached biologica...produce a picture that shows what genetic algorithm does using known biological pictures. You will use attached biological pictures to explain genetic algorithm as in picture "clustering-using-ga-and-hillclimbing"

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    Require a python developer with experience in NLP to code/develop a module that vectorizes text data and generates different clusters. This task can be subdivided into following tasks: 1) Extract Text data from solr database or from a set of csv files 2) Preprocess text data which includes stop word removal lower case conversion stemming lemmatization

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    I have datasets of Chandigarh traffic from 2015-2018 . Using K-means clustering algorithm I want to cluster my data according to attributes like gender, month, year, type of fatal. Can you please code for my datasets that I have uploaded here.

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    I am looking for a data scientist who is working in real time industry to teach me the concepts of data sciences with real live examples. Customer profiling, recommendation systems, hypothesis testing, Customer clustering etc would be a plus

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    The goal of the project is to get an example with metric datas which is based on the article : " Performance guarantee for hierarchical clustering " authors : Dasgupta and Long, you can also find this article on line : [login to view URL]~dasgupta/papers/[login to view URL] Deadline is 7th september 2018 This jobs suits to Dataminers, Data scientist

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    The goal of the project is to get an example with metric datas which is based on the article : " Performance guarantee for hierarchical clustering " authors : Dasgupta and Long, you can also find this article on line : [login to view URL]~dasgupta/papers/[login to view URL] Deadline is 7th september 2018 This jobs suits to Dataminers, Data scientist

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    I need a Python code to cluster points and relocate additional points.

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    The goal of the project is to get an example with metric datas which is based on the article : " Performance guarantee for hierarchical clustering " authors : Dasgupta and Long, you can also find this article on line : [login to view URL]~dasgupta/papers/[login to view URL] Deadline is 7th september 2018 This jobs suits to Dataminers, Data scientist

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    ...domain. Proficiency in machine learning and data mining techniques, Feature engineering, regression, classification, clustering, time series analysis etc. Extensive experience in Data Analysis - Skilled in uncovering insights and identifying patterns. Proven experience in predictive modelling using R/Python. Strong programming background in at le...

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    Hi, I have a list of text and also a dictionary of abbreviations. I require assistance in cleaning of the text and arrive at a standardized long form. For example, text would comprise of [login to view URL] dty officer dty. officer d.t.y officer [login to view URL] officer [login to view URL] deputy officer [login to view URL] offr. dictionary: dty:deputy offr:officer Require someone w...

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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture

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    Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture

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