To choose the right value of k you have Try diferent values of k; measure the average distance to centroids for each k. I have a question regarding K means clustering. for the elbow method to find the optimal K. Is is the Total within-cluster sum of squares or the average distance to centroid that is used to find the optimal K How do you find the
I am trying to work on profiling customers interested in 4 ...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.
Message for details regarding this project. Please note it must be done using C++ programming language.
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.
...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
Hi, The project, in short, is to deploy Moodle on a cluster of three servers for load balancing and high availability/scalability. One of the nodes suppose to host BigBlueButton The bidders suppose to have a similar experience. Moreover, if you would like to bid for this, you have to send a full package including hosting fees for 2 years and features (eg, ram, hard disk, etc).
...ready to use We would like our Yearbook designed and pictures arranged, ready for us to print The yearbook we'd like to work on is for the year 2017. Some events we're clustering: - January Annual Advance - Personal goals - Team events - Lunches together - Xmas Party - Welcome of new recruits - Marketing (1st magazine ad that we've done, Chinese
...programming artificial intelligence 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
I want make a multi-keyword ranked search on a encrypted cloud environment. First i want to apply hierarchical clustering while indexing then apply search on cloud server by user query. The files as well as index should be outsourced to the cloud with encryption. Then apply cipher text search
Need to implement k-means in java for customer classification . customers buy products from shop . they will pay while they buying , pay at the end of the month , some customers will take time to pay . some customers dont pay at all . have to classify using k-means algorithm .