Applied multivariate statistical analysis
Applied multivariate statistical analysis
Discrete mathematics with applications
Discrete mathematics with applications
An algorithm for computing the transitive closure of a fuzzy similarity matrix
Fuzzy Sets and Systems
A conceptual version of the K-means algorithm
Pattern Recognition Letters
An approximation algorithm for clustering graphs with dominating diametral path
Information Processing Letters
Integration of self-organizing feature map and K-means algorithm for market segmentation
Computers and Operations Research
Logic-oriented fuzzy clustering
Pattern Recognition Letters
An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
Information clustering based on fuzzy multisets
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Comparison of clustering methods for clinical databases
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Cluster center initialization algorithm for K-means clustering
Pattern Recognition Letters
Mining typical patterns from databases
Information Sciences: an International Journal
Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters
Information Sciences: an International Journal
Towards supporting expert evaluation of clustering results using a data mining process model
Information Sciences: an International Journal
A new separation measure for improving the effectiveness of validity indices
Information Sciences: an International Journal
A clustering method based on fuzzy equivalence relation for customer relationship management
Expert Systems with Applications: An International Journal
A clustering system for data sequence partitioning
Expert Systems with Applications: An International Journal
A case study on financial ratios via cross-graph quasi-bicliques
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
| Hi-index | 0.08 |
When companies evaluate their performance, it is impractical to take all of their financial ratios into consideration. To evaluate the financial performance of a company, only a fraction of the available financial ratios are considered and selected as evaluation criteria. In general, financial ratios presented as sequences (or called financial ratio sequences), are first clustered and then a representative indicator is chosen from each cluster to serve as an evaluation criterion. To cluster financial ratios, we propose a clustering method in which the financial ratios of different companies with similar variations are partitioned into the same cluster. In other words, a fuzzy relation is proposed to represent the similarity between the financial ratios, and a cluster validation index is also provided to determine the number of clusters. Once the financial ratios are clustered, the representative indicator for each cluster will be identified.