Visual cluster validity for prototype generator clustering models

نویسندگان

  • Richard J. Hathaway
  • James C. Bezdek
چکیده

Conventional cluster validity techniques usually represent all the validity information available about a particular clustering by a single numbel. The display method introduced here uses images generated lrom the results of any prototype generator clustering algorithm to do cluster validation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Categorization Axioms for Clustering Results

Cluster analysis has attracted more and more attention in the field of machine learning and data mining. Numerous clustering algorithms have been proposed and are being developed due to diverse theories and various requirements of emerging applications. Therefore, it is very worth establishing an unified axiomatic framework for data clustering. In the literature, it is an open problem and has b...

متن کامل

A supervised growing neural gas algorithm for cluster analysis

In this paper, a prototype-based supervised clustering algorithm is proposed. The proposed algorithm, called the Supervised Growing Neural Gas algorithm (SGNG), incorporates several techniques from some unsupervised GNG algorithms such as the adaptive learning rates and the cluster repulsion mechanisms of the Robust Growing Neural Gas algorithm, and the Type Two Learning Vector Quantization (LV...

متن کامل

Three Visual Cluster Validity Methods for Object and Relational Data

This talk is about three visual cluster validity methods developed by the authors that can be used for both object and relational data sets. The original method VAT (visual assessment of clustering tendency) works nicely for dissimilarity data up to about n = 5000 objects, but VAT quickly bumps up against storage and resolution limits, and is of limited utility for large data sets. The second m...

متن کامل

CVAP: Validation for Cluster Analyses

Evaluation of clustering results (or cluster validation) is an important and necessary step in cluster analysis, but it is often time-consuming and complicated work. We present a visual cluster validation tool, the Cluster Validity Analysis Platform (CVAP), to facilitate cluster validation. The CVAP provides necessary methods (e.g., many validity indices, several clustering algorithms and proce...

متن کامل

Convex-set-based fuzzy clustering

Prototype-based methods are commonly used in cluster analysis and the results may be highly dependent on the prototype used. In this paper, we propose a two-level fuzzy clustering method that involves adaptively expanding and merging convex polytopes, where the convex polytopes are considered as a “flexible” prototype. Therefore, the dependency on the use of a specified prototype can be elimina...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Pattern Recognition Letters

دوره 24  شماره 

صفحات  -

تاریخ انتشار 2003