Detecting Fake User Profiles using k-Means and Local Outlier Factor
-
Updated
May 31, 2015 - HTML
Detecting Fake User Profiles using k-Means and Local Outlier Factor
Simple k-means visualization in python
Image Segmentation using K-Means
Implementation of Google's approximate nearest neighbor search method, described here: https://www.google.com/trends/correlate/nnsearch.pdf
Helps explain clustering with colors
A Twitter bot that produces new species of clitoris by projecting botanical illustrations onto a 3D model
Machine Learning and Artificial Intelligence algorithms using client-side JavaScript, Node.js and MongoDB. Just code kata.
🎼 SoundCloud spam/bot account analysis
In this project I implement some clustering algs and run them against one dataset to compare them. Currently implemented K-Means and used dataset Iris.
Báo cáo thực tập VCCorp tuần 2: ElasticSearch, Naive Bayes và K-Mean
🌆 Image lossy-compression framework based on color-clustering
Penerapan K-Means Clustering pada Javascript
Add a description, image, and links to the k-means topic page so that developers can more easily learn about it.
To associate your repository with the k-means topic, visit your repo's landing page and select "manage topics."