Fuzzy Clustering and Data Analysis

Fuzzy Clustering and Data Analysis

Find your system's clusters with two different fuzzy clustering algoritms (Fuzzy C-Means; Gustafson Kessel) and analyse with Least Square Estimation or Fuzzy Functions. You can analyse up to 4 (3 input 1 output) dimensions. Registered users can use up to 6 dimensions.

How to use

  • Load your data using Load Data window. After paste data into the text area, click Accept button. Application will review and accept max 500 lines and 5 coloums of your data. You can review what application has as data.
  • Choose have may rows of data will be use as validation data. Train data is must. So you can choose max 40 lines of validation data.
  • Choose how many center are in the data.
  • Choose fuzziness coefficient. Best values are between 1.4 and 2.8
  • Choose method to analyse.
  • Click Calculate button.
  • Get the results by Results button.

Copyrights

Links

Terms of usage

By visiting this site and/or using the application you accepted below conditions:

  • This program is as it is. There is no warranty of any kind. The user is responsible for using and results of application.
  • The application is free to use.
  • The application must be used as served. Any change on application is forbidden

Version Histroy

2.3 (2011-10-09)

  • Calculation for one cluster added

2.2 (2011-08-01)

  • Small changes

2.1 (2011-02-21)

  • Min-max of graph
  • Clustering method: Gustafson-Kessel

2.0 (2011-02-16)

  • User friendly graphic interface, tabs
  • Graphs of data, clusters, memberships and estimates
  • Visitor can analyse data of size 4x400; members can 6x1000
  • Comparation current calculation with previous one

1.0 (2010-08-02)

  • Basic graphic interface
  • Clustering method: FCM (Fuzzy c-mean clustering)
  • Analysis method: Fuzzy Least Square Estimation
  • Analysis method: Fuzzy Functions

Acknowledgements