How to make face images clustering using kmeans clustering?
显示 更早的评论
I detected face using Viola-jones algorithm from video.I cropped faces from each frame.I recognized faces using eigen faces.In eigenface algorithm I calculated euclidian distance for input image.I even calculated threshold to recognize faces.Recognizing is over I guess.But now i have to do clustering.I dont know how to start.Can you suggest me to how to start?
采纳的回答
Shashank Prasanna
2014-3-26
You can start with the examples on the documentation page for KMEANS:
You'll need 2 pieces of information. (1) X: your input matrix of features (2) k: number of clusters. Number of clusters is something you may have to start by guessing if you don't already know.
All that is left is to invoke KMEANS:
[IDX,C,sumd] = kmeans(X,k)
If you don't know how many clusters are there in the data, you can make use of cluster evaluation techniques as follows:
2 个评论
prashanth
2014-3-27
Shashank Prasanna
2014-3-27
Its a matrix of features, could be a vector form of the image. Maybe this example is useful:
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Cluster Analysis and Anomaly Detection 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
