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    2,428 matlab code image clustering using means clustering jobs fundet, i prisklassen EUR
    proof dbscan Udløbet left

    dbscan clustering proof r programming

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    ...designing a new one which solves or overcome the drawback of previous techniques to label all the cardiac related data based on its extent of severity 4. Application of a new clustering mechanism of machine learning to group the cardiac data based on relevant parameters identified as part of feature selection,creating clusters. 5. Generating a new predictive

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    I need someone to alter some images.

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    write business language articles in english articles should be direct, structured, illustrated with photos should create interest to the reader should focus on some key terms (key words)

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    Hello, I have a project on clustering a multi-attribute dataset by k-means algorithm. Actually, I have knowledge about clustering but I have a problem in passing dataset to k-means, So i am waiting your help :)

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    Android App development 4 dage left
    VERIFICERET

    Job Summary 1. To write a clustering algorithm for a brand new IOT Hardware product to be launched in the market soon Software for Android app to determine the input signals form a IOT ( BLE) device. 2. To be written in Java or C and hence knowledge / experience of Java / C a must 3. Knowledge of clustering algorithm / writing APIs is a added benefit

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    I need some data cleaning & mining work done. I have a solution in mind, but don't have time to do it properly. I have...use Scikit-learn, this is just a prototype. The output has to be the (1) initial dataset with common themes as a new column, and cluster labels added as the last column, (2) code to replicate the work (so I could analyse further).

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    Clustering of rectangles, as agreed.

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    Hello Freelancers, I have a basic task in Clustering and energy issues I ATTACH full description and deadline is today budget strictly $10AUD you will see yourself it is not for more than aprox half an hour project. I have gathered bibliography to help you out if needed. Thank you very much in advance looking forward to begin asap! Happy biding :)

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    I need to create program on Python. Which display how to work streaming clustering algorithm DenStream. For input date need to use KDD 99.

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    I give you sites that interest me, you do: 1 to collect key requests, 2 to assemble the semantic core, after giving hints and primers 3 clustering - ungroup in Exell and Xmind

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    Need a Brand Ambassador to promote a product and push sales through various means including internet and social media marketing. Need to work complying with GDPR rules.

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    Using the PDF document, I need someone who understands unsupervised learning in machine learning (k Mean Clustering specifically) to fill in the blanks of the skeleton matlab code that is also attached down below. The data that is used is also provided

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    Cluster the documents by their content, NOT by document ID (eg: person name, location, date). If you cluster the documents with the name then all the documents containing that name should be near each other as a [log ind for at se URL] can use NLTK toolkit as well or any other algorithms. You should design interactive features on your visually revealed clusters [log ind for at se URL] the clust...

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    Do Clustering Udløbet left

    do clustering using python. Please read the attached file first.

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    ...Learning technology to solve real-world problems. Machine Learning and Artificial Intelligence (AI) techniques and tools such as neural networks, regression, classification and clustering. Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships and trends. experience with SQL, Spark, or Hadoop. Develop

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    I have image clustering project by K-means algorithm. In order to be manipulated by k-means the image should be converted to CIE lab value. So, I need from a Freelancer convert a given image to CIE LAB in which become an input ready dataset for kmeans algorithm.

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    ...validation set for an ML algorithm. What we are looking for is someone versed in machine learning to help us set up a process for handling the incoming data and applying clustering algorithms onto said data. In a first step we would like to have a conversation about our current situation as well as talk about possible implementations. Best regards

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    ...admin email). -Application server Glassfish (Clustering and session replication) -Star rating ans comments for service to be available for the logged in or guest users. -Database postgres. -Multi-language English/Arabic (We will help in the arabic for non-arabic developers) -Slide show for pictures using javascript. -Jquery or any frontend collapsible

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    Parallel K-means Clustering of remote Sensing Images based on MapReduce

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    I need a machine learning expert who is very good at k-means clustering, ANN, RNN, SVM, XGBoost to work with me on this project.

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    I am looking for someone to work on Algorithmic and Data Mining projects. Must understand how to program advance machine learning clustering algorithms and other data mining algorithms. Must be also good at Mathematics and Computer Science to understand complex data coding needs. Must be expert in Python, Linux, Unix, C/C++, CUDA programming. Several

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    Hi Fabio S., I noticed your profile and would like to discuss a clustering project with you

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    The responding expert must have a clear understanding of the CRISP-DM framework, supervised segmentation, similarity, and clustering using Euclidean distance. Your response should mention these items. The requirements will be shared with those whom have experience in the field. This project will need a quick turn around of today. Thanks.

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    ...implement using Matlab code , the software defined network ( SDN) controller placement for wireless sensor network , applying the two attached files. first , we have random deployment of 500 sensor nodes in 200x200 field and then we will do clustering technique using K-way spatial clustering as in the attached paper , instead of conventional clusteri...

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    I want to cluster documents with python, it should incorporate tfidf to find the important sentences in a text file. When given a query, it should return the most relevant sentences to that query.

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    Need a simple single seller auction 1. No intergraded payment system wanted , payments are done manually through us 2. An admin 3. A bid table , where at different points the bidding raises at different amounts , for example if and item is $5 bidding up to $10 stays at a $1 intervals but when it hits $50 and higher intervals raise to $5 -$20 per next bid 4. Registration form needs to ask for name...

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    I want to create an algorithm in ns2 for wireless sensor and actor networks. there will be multi-hop clustering in network, all the node will be static except the actor nodes (they are remote). cluster heads will have backup cluster heads.

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    I have a DNN site set up on AWS EC2 , I need to 1. Configure this site in a Webfarm setup for Clustering and Load balancing 2. Create AMI for this setup 3 Configure Autoscaling group to standup new instances as the load increases. Below are the documentation available on internet <BR> [log ind for at se URL]

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    I need clustering help in Tableau. I need to use k-means. Using K-means to group the accident locations into three categories, high-frequency, moderate-frequency and low-frequency accident locations

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    I need 2 clusters with the rules defined by taking columns in to consideration

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    need a min of two clusters by considering three columns for clustering and also display details of each node in cluster on hover

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    Clustering from data set and then optimisation of multiple fitness function.

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    Project for Alka R. Udløbet left

    ...usnig clustering algorithms in R on a social network as a graph object to detect the communities in this social network. This social network is node-attributed. After detecting the sub-communities, we developed an approach to detect the general rules to describe how these subcommunities are built from the manner of nodes' attributes. The clustering methods

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    I need k means cluster and some more ananlysis using ipynb. I will provide complete details in chat.

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    OVERVIEW Create a Dual Momentum Excel Spreadsheet with the below features: - Ranking - Back Testing - Clustering Assets - Clustering Back test settings - Position size auto - Position size manual - Portfolio Assets - main menu - Data Download to excel FULL DETAILS Click here to see full details: [log ind for at se URL]

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    You have car data set and you have to take any three columns to clustering of cars. you are free to decide which columns to use and determine your rules for the clustering. Using D3.js to visualize your clustering results: 1. Use a circle to represent each car 2. Cars in the same cluster should be near each other 3. Use different colors for different

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    For this project, i need to add the output of our clustering analysis to the JC Dollars customer data and characterize the segments. 1. Calculate the following demographic measures for each segment (cluster): ● Segment size (# of customers) ● Average age ● Average monthly income ● Average household size ● % Salaried ● % Self-employed ● % Homemakers

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    NS3 Project... Udløbet left

    ...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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    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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    Finish setting up failover clustering between 2 windows 2016 servers.

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    dbscan proof Udløbet left

    machine learning question regarding clustering method of dbscan

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    Predictive Model Udløbet 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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    ...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 absence of vampire attacks by using network simulator 2(ns2). software requirements

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    Data mining basics Udløbet 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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    I want someone to do a theme analyses around 5 million comments on a video sharing website using PySpark Ml library as the main tool. I will provide the dataset. The work environment should be Databricks Community Edition (you can create an account for free), and the deliverable is a Databricks notebook. The data is at “video_creator – commentor_id

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    Fremhævet
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