Non-hierarchic document clustering
Cluster analysis, or automatic classification, is a multivariate statistical technique that seeks to identify groups, or clusters, of similar objects in a multi-dimensional space. There have been many attempts over the years to use such procedures for the organisation of document databases, so that...
Saved in:
Main Authors: | Gareth Jones, Alexander M. Robertson, Chawchat Santimetvirul, Peter Willett |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Borås
1995-01-01
|
Series: | Information Research: An International Electronic Journal |
Subjects: | |
Online Access: | http://informationr.net/ir/1-1/paper1.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cluster validity indices for automatic clustering: A comprehensive review
by: Abiodun M. Ikotun, et al.
Published: (2025-01-01) -
Presenting a method to reduce the sensitivity of incremental clustering algorithms of XML documents based on collective intelligence algorithms
by: Mohammad Nazari Farokhi, et al.
Published: (2024-03-01) -
Combined application of hierarchical and non-hierarchical clustering methods in order to segment the customers in one trade chain
by: Bjelobaba Goran, et al.
Published: (2019-01-01) -
PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors
by: Ning Ma, et al.
Published: (2025-02-01) -
A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm
by: Caixia Wang, et al.
Published: (2025-01-01)