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    2,066 image clustering using matlab jobs found, pricing in USD
    partition clustering 6 days left
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    Find the ideal number of clusters – justify it by showing all necessary steps/methods

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    ...need some one to develop a system which d-identifies patient names, place names, dates, gender, Age. This should be done using Bayes Classifier and training with N-gram statistical language model. Generation of keywords, then clustering keywords into semantically related clusters namely: Symptoms, Diagnosis,Assessment(Conclusions),Treatment. Then calculate

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    I have a project using R programming or Python with report a) the description of attributes (columns) e.g. the number of discrete and continuous attributes (make factors from discrete ones, get rid of useless ones or remove one attribute from each pair of strongly correlated attributes). Find or make your target class attribute. b) the description

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    4 sets of MSSQL ALWAYS ON NEW CLUSTER SETUP. THEN MIGRATE DATABASE FROM EXISTING PRODUCTION ENVIRONMENT TO NEW ONE. BRING UP NEW ONE AS PRODUCTION ENVIRONMENT. VERY MIINIMAL DOWNTIME..

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    ...building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details in the interview

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    ...building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details in the interview

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    ...algorithm so it calculates the optimal k for the algorithm - my criteria for finding the optimal k is by looking at inter cluster distances ******************** i am using a k-means clustering algorithm to determine buckets of factors impacting a certain component. However, i am unable to modify the algorithm to help me get the optimal number of k clusters

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    ...building a large-scale data mining system and need a data science expert to speed up the balanced k-means algorithm. The dataset has over 20k points and we need to finish the clustering within 30-40 seconds. We can provide the benchmark project and whatever you do with whatever tool, we need speed enhancement. We will provide more details in the interview

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    ...Class diagrams – Object diagrams etc… • Web: PHP 7 – JSON – Apache/Nginx – Angular – Node.js – Css /Sass – HTML5 – JS - Bootstrap 4 • Database: MySQL – Maria DB – Database clustering • Framework: Yii2 – Laravel • Communication: Mailchimp - Twilio • Mobile: Firebase – JAVA - Andro...

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    who can generate the new algorithms or new techniques on machine learning , data mining ...so on to classifies and clustering the financial data sets , Please contact me.

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    classification : NN, K-NN, SVM, MLP, Bayes, K-mean Clustering : K-mean , fuzzy K-mean Feature section : PCA, LDA,ICA or other techniques on Machine Learning

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    I want a k-means clustering evaluation and training to be done on a tweets dataset and txt file (using any plot tools) . i need graph plots and the figures plus explanation. Looking for someone who can get it done within 2 hours. i will share the sql dataset via google drive

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    ...Class diagrams – Object diagrams etc… • Web: PHP 7 – JSON – Apache/Nginx – Angular – Node.js – Css /Sass – HTML5 – JS - Bootstrap 4 • Database: MySQL – Maria DB – Database clustering • Framework: Yii2 – Laravel • Communication: Mailchimp - Twilio • Mobile: Firebase – JAVA - Android Stu...

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    The project re...the data frame, or Create a pure vector of numbers from the row, or Use Excel to select the cells and create a new csv in the correct data frame format, or etc... 4. For clustering and linear regression, you also need to clearly define the variables you are studying. Defining the problem is always the first step for any data analysis.

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    I need cipher text search on cloud...using hierarchical clustering algo in this project for doc and index outsourcing on cloud. It need a cloud platform.

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    The script is already written and uses the Elbow method (which is aimed ...script is already written and uses the Elbow method (which is aimed at finding the best number of clusters in a dataset) The work consists on developing a loop to run the clustering algorithms 100 times with random initialisations to keep track of the best cluster for analysis

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    The script is already written and uses the Elbow method (which is aimed...script is already written and uses the Elbow method (which is aimed at finding the best number of clusters in a dataset) The work consists on developing a loop to run the clustering algorithms 100 times with random initialisations to keep track of the best cluster for analysis.

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    ...provide support for our diverse SQL Server estate and contribute to new deployments and projects. A challenging role that provides exposure to the e-commerce industry, SQL Clustering and Cloud architecture. You will be a vital part of an experienced team sharing support, ideas, and experience. You will have the opportunity to improve SerenataFlowers

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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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    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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    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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    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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    I try to find someone who can using Matlab program to classifier and clustering some Financial data sets with high techniques , new algorithms , that can make the good results for my projects

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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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    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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    I have a python clustering script which is very slow, i would like to optimize it to make it faster

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    i have a dataset of 1 milion rows containing one text feature goal is to cluster them based on similarity please only bid if you have an idea how to do it

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    My task is to make clustering in hyperdimensional space using Kinetic correlation as a distance (increase performance) to make it run in real time. I used Kinetic correlation instead of Pearson correlation and I will give you all the necessary details. I was thinking doing Divide and conquer to fast the implementation. If you are familiar with tasks

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    the project is related to Electronic Commerce for recommendation of the products to users based on opinion target. Techniques employed in the project are NLP (Natural La...for recommendation of the products to users based on opinion target. Techniques employed in the project are NLP (Natural Language processing ) and Advanced K-means Fuzzy clustering.

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    Excel Expert is required to apply KMeans for clustering, and applying distance methods using Plugin solver

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    ...intent mining. 1. Please list your past experience in such project 2. What was your role? 3. Attach a quick process showing how are going to build predictive analytics using user intent descriptive analysis And finally how would you apply MLL to the process? Responsibilities for Data Scientist • Develop custom data models and algorithms to

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    You need knowledge in machine learning/k-means clustering/ Naive Bayes/and must know how to use Jupyter notebook. Please only apply to job if you have excellent English language skills. I will provide more details about job.

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    Hi, I need someone who has experience in NLP focussing on the following algorithms - 1. Decision Trees 2. KNN Chain/ Pair Selection Networks 3. ANN/ CNNs for mult...experience in NLP focussing on the following algorithms - 1. Decision Trees 2. KNN Chain/ Pair Selection Networks 3. ANN/ CNNs for multivariate classification 4. fuzzy clustering

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    ...academic performance. Likewise, courses may be grouped together based on the profiles of students who are enrolled in them. In this mini project, you are going to develop a clustering analysis tool to help users better understand student course data." And I need to help for that because I have to complete this lecture in university. If you can

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    Hi, we are looking for a person who has experience around Computing, cluster, linux and generally hosting servers & networks In the first instance, we need some advice, suggestions to implement some things always referring to servers/hosting, cluster, etc please, update us via pm for more information Thanks!

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    the project is related to Electronic Commerce for recommendation of the products to users based on opinion target. Techniques employed in the project are NLP (Natural La...for recommendation of the products to users based on opinion target. Techniques employed in the project are NLP (Natural Language processing ) and Advanced K-means Fuzzy clustering.

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    I have the code and the data. I just need to apply the code on my data in python.

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    i am looking for Node.js developer who can work on multi tenant architecture of a cloud based backend. you should have experience with sockets, clustering, rest API and real time programming, experience with REDIS will be a plus point. you should have hands-on more than 5 years backedn experience and have created SAAS applications before. we need

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    I want a professional who can implement in ns2/matlab/java the weighted clustering algorithm for cluster head selection in MANET

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    I need you to develop some software for me. I would like this software to be developed for Windows using C or C++. I want a code which will do the comparison between clustering algorithms like k means, k medoids etc in c++

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    Needs to perform data cleaning and write research paper on that using clustering or cube computation.

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    Large protein and genetic databases with different disease states. Looking for someone who can perform hierarchical clustering analysis on thousands of data points with relatively small n, and then use something like ggplot2 to create cool graphics. Exciting project, data is currently in SAS and Excel formats, I have some R knowledge and would like

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    WRITE CODE ABOUT K-means Clustering USING MATLAB

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    I am trying to work on profiling customers in...interested in 4 specific types of products by using unsupervised learning (clustering). The project should come up with clusters that best resemble customers interested in a specific product. Consists of quick pre-processing of data (imputing missing values and cleaning) followed by the Clustering.

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    NDA
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    Basically have to create a graph using C++ and have to get the proper output as per the requirements. Message for details.

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    Message for details regarding this project. Please note it must be done using C++ programming language.

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    I need a C++ source code for Comparison of different clustering algorithms( k means , k medoids ) by importing a dataset in form of csv file .

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    Two Nodes should be configured with Clustering and Virtual IP. One of the Drive should be shared between two nodes but should be mounted only by one node at at a time. Looking for candidates preferably from Bangalore, Inida Remote Connectivity is available.

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    ...preceded by mostly 3 lines of data, sometimes it may be more lines of data, but typically not more than 6. As You look through the excel sheets You will see patterns of data clustering. There are 2 spreadsheets attached - one represents basic data and the other has added columns with calculations that I need. First of all I need this data to be searchable

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    6 entries