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    2,129 image clustering matlab code jobs found, pricing in USD

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

    $410 (Avg Bid)
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    GAN Analysis 5 days left
    VERIFIED

    Semi-supervised Learning. Semi-supervised learning is a long-stan...low-level pixel statistics, and hence the generated images often have little recognizable global structure. Thus the need to design of a PixelGAN autoencoder and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

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    Setup FailOver Clustering 4 days left
    VERIFIED

    Finish setting up failover clustering between 2 windows 2016 servers.

    $21 / hr (Avg Bid)
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    GAN Analysis 3 days left
    VERIFIED

    Semi-supervised Learning. Semi-supervised learning is a long-stan...noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

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    dbscan proof 20 hours left
    VERIFIED

    machine learning question regarding clustering method of dbscan

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    Predictive Model 18 hours 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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    ...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 into interconnected substructures called clusters. To analyze and performance of the ad-hoc network in the presence and

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    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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    ...granularity 3. Transform the “all_comments” feature using Word2Vec modules of PySpark ML library (not the MlLib library as I want to do everything using dataframes) 4. Do a clustering of the transformed “all_comments” feature using the LDA module of PySpark ML. 5. Generate the most frequent words for each cluster as identified in field. I will do the interpretatio...

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    Featured
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    I am a Stanford researcher. VorteX is my 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, DBSCAN algorithm, semi-supervised clustering

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    ...synchronization, while user is working on local SQLITE db. That is the first work 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

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    ...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: 1. Perform

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    ...to go un-responsive Draw polylines on Google MAP OVERLAY instead of map itself. Introduce MARKER CLUSTERING. “By clustering your markers, you can put a large number of markers on a map without making the map hard to read”. A sample of how map clustering looks like can be seen below: Remove selection of zones from side menu in navigation map and move

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    ...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 the images into another folder in their clusters sequentially. I.e. if the photo stack is for 100 photos, and the first cluster identifies 35 common

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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 leukemi...47 samples. The dataset is labeled with its equivalent cancer type. I have attached dataset description file and a research paper. I want you to use the NMF method using clustering In R programming Language.

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    My project should take a real time data from a hospital [login to view URL] a new classification 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

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    My project should 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

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    My project should 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

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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 ...1. Abstract Syntax Trees --> 1.1 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 pro...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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    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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    ...experience working across Analytics & Machine Learning 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

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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...officer deputy officer [login to view URL] offr. dictionary: dty:deputy offr:officer Require someone with great regex skills to carry out this task. Further to this, would require to do clustering and classification of the text arrived.

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    Semi-supervised Learning. Semi-supervised learning is a long-stan...noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

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    Mysql clustering Required mysql clustering specialist, to cluster THREE SERVERS, DC-DC-DR. First two DC need to be clustered and then Dr need to be added. Server OS : CentOS 7 MySql version :, 7.6 (community cluster edition) Job is of few hours, need it urgently. Please connect, only if you have prior experience of clustering

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    Development of a system for K-Modes Clustering on mixed data set. I need a model that can demonstrate K-Modes clustering on mixed data set using Java Programming Language.

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    I need an expert in clustering for a consultation for one hour. Max budget is 15$. Bid if you are interested.

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    Semi-supervised Learning. Semi-supervised learning is a long-stan...noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

    $431 (Avg Bid)
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    Semi-supervised Learning. Semi-supervised learning is a long-stan...noise. Development of a mathematical connection between maximum-likelihood learning and the cost function of variational inference with implicit distributions and consider clustering task in the last step of our approach (instead of supervised learning) to discover essential patterns.

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    i want a genetic clustering algorithm in python with each steps should include comments and by using indian dataset(eg:education wise,agriculture,trading in india,) it should include more than 15k [login to view URL] coming to clustering library shouldn,t be used(eg: k-mean library).we have write a python code without clustering liberary (https://github

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    i want a genetic clustering algorithm in python with each steps should include comments and by using indian dataset(eg:education wise,agriculture,trading in india,) it should include more than 15k [login to view URL] coming to clustering library shouldn,t be used(eg: k-mean library).we have write a python code without clustering liberary (https://github

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    In this mini Project you are going to develop a tool to evaluate the ability of the k-means clustering algorithm

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    Create a python application, plotting datasets (comparing), word cloud, twitter streaming api, scatter graphs comparing months, clustering algorithm, k means, finding facts and statistics on road traffic accidents, use SPARQL ENGINE + RDF FRAMEWORK Highlighting the map with numbers and percentages, predicting liklihood algorithms. Study the requirements

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    Hi, We are looking for a skilled NLP professional to help us complete our project. The project comprises of the following - 1. 5000 candidate profiles in 3 companies each. 2. Each company would have its organisation structure and this would have to be created with prediction capability The problem - The data comprises of job titles and may or may not have job description. The data would not be ...

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    I need a person who can prepare a research paper on clustering in WSN based on meta-heuristic approach..(ie PSO, ACO, BAT, CSA, FPA etc). i have to submit that paper in SCI indexed journal.

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    ...show me examples where you worked with this plugin and its add ons. The add-ons I mostly want to work with are the reviews, importer from facebook and yelp, google maps, clustering, climbing, and maybe one or two others. I just want a place where local UGC cn be added to our site for seo purposes and building our brand. I'd like to have a directory

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    I need you to integrate NodeJS Clustering into the online game - Armada Battle. The Project developed with NodeJS, [login to view URL], Redis and MongoDB. There are no global variables will cause problems. Feel free to ask questions if you interested in project.

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    ...requirements of my project are as follows: 1. Collecting the realtime hospital data belonging to cardiac sector 2. Applying classification mechanisms on that data 3. Applying clustering to group the data based on the condition of seriousness 4. Developing a new predictive model that could identify the upcoming health scenario of an individual and giving

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    I have a 153 000 data point data set and I need you to run a clustering algorithm on it and do the data visualization

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    we have too many projects by using raspberry pi depending on Python :- for examples :- 1-sensors 2-servers 3-clustering parallel computing . we are in a company in Saudi Arabia . we are looking for freelancers only form India and Pakistan to have with me long term . note:- you have to send your CV and list of project you have been finish already.

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