منابع مشابه
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 کاملVisual cluster validity for prototype generator clustering models
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.
متن کاملRelational Validity & Dynamic Predicate
In this paper we prove that the principles in the language with relation composition and dynamic implication, valid for all binary relations, are the same ones as the principles valid when we restrict ourselves to DPL-relations, i.e., relations generated from conditions (tests) and resettings.
متن کاملRelational Validity Dynamic Predicate Logic
In this paper we prove that the principles in the language with relation composition and dynamic implication valid for all binary relations are the same ones as the principles valid when we restrict ourselves to DPL relations i e relations generated from conditions tests and resettings
متن کاملCluster validity analysis using subsampling
I n t r o d u c t i o n The word "clustering" (unsupervised classification) refers to methods of grouping objects based on some similarity measure between them. Clustering algorithms can be classified into four classes, namely Partitional, Hierarchical, Density-based and Grid-based [8]. Each of these classes has subclasses and different corresponding approaches, e.g., conceptual, fuzzy, selforg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2007
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2007.06.002