Agglomerative Transduction

Agglomerative transduction can be thought of as bottom-up transduction. It is a semi-supervised extension of agglomerative clustering.

Agglomerative transduction can be thought of as bottom-up transduction. It is a semi-supervised extension of agglomerative clustering. It is typically performed as follows:

Compute the pair-wise distances, D, between all the points.Sort D in ascending order.Consider each point to be a cluster of size 1.For each pair of points {a,b} in D:  If (a is unlabeled) or (b is unlabeled) or (a and b have the same label)    Merge the two clusters that contain a and b.    Label all points in the merged cluster with the same label.
RELATED ARTICLESExplain
Machine Learning Methods & Algorithms
Transductive inference
Agglomerative Transduction
Supervised learning
Manifold Transduction
Partitioning Transduction
Graph of this discussion
Enter the title of your article


Enter a short (max 500 characters) summation of your article
Enter the main body of your article
Lock
+Comments (0)
+Citations (0)
+About
Enter comment

Select article text to quote
welcome text

First name   Last name 

Email

Skip