Evaluating Clusterings by Estimating Clarity
In this thesis I examine clustering evaluation, with a subfocus on text clusterings specifically. The principal work of this thesis is the development, analysis, and testing of a new internal clustering quality measure called informativeness. I begin by reviewing clustering in general. I then revie...
Main Author: | Whissell, John |
---|---|
Language: | en |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/10012/7103 |
Similar Items
-
Evaluating Clusterings by Estimating Clarity
by: Whissell, John
Published: (2012) -
Using Cluster Analysis, Cluster Validation, and Consensus Clustering to Identify Subtypes
by: Shen, Jess Jiangsheng
Published: (2007) -
Hyperplane Clustering : A New Divisive Clustering Algorithm
by: Yogananda, A P
Published: (2011) -
Heuristic possibilistic clustering for detecting optimal number of elements in fuzzy clusters
by: Viattchenin Dmitri A.
Published: (2016-03-01) -
A Novel Clustering Validity Function of FCM Clustering Algorithm
by: L. F. Zhu, et al.
Published: (2019-01-01)