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INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
10 years 12 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
CSIE
2009
IEEE
11 years 8 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
FLAIRS
2007
11 years 3 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
CBMS
2008
IEEE
11 years 8 months ago
A New Path Length Measure Based on GO for Gene Similarity with Evaluation using SGD Pathways
We propose a new method for measuring the semantic similarity of genes based on path length between their annotation terms in the Gene Ontology. Our method applies an exponential ...
Anurag Nagar, Hisham Al-Mubaid
CIARP
2010
Springer
11 years 12 days ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
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