Linear clustering of objects with multiple attributes
نویسندگان
چکیده
منابع مشابه
Clustering objects on subsets of attributes
A new procedure is proposed for clustering attribute value data. When used in conjunction with conventional distance-based clustering algorithms this procedure encourages those algorithms to detect automatically subgroups of objects that preferentially cluster on subsets of the attribute variables rather than on all of them simultaneously. The relevant attribute subsets for each individual clus...
متن کاملOn Attributes of Objects in Object-Oriented Software Analysis
One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles. There is a sequence of activities to develop an analysis model. In the first step, we work in developing an initial use case model. Then in the second step, they identify a number of concepts and build a glossary of partic...
متن کاملColumnar Display of Multiple Attributes of Linear Features Using ArcGIS
Columnar display of linear referenced data portrays dozens of attributes of linear features simultaneously, visually, and interactively. In this genome-like display, each attribute is a layer of an ArcMap data frame. Location is in traditional geographic space and as distance along a measured route created with ArcINFO dynamic segmentation. The resulting display is familiar to investigators acc...
متن کاملExponential Stability of Linear Systems with Multiple Time Delays
In this paper, a class of linear systems with multiple time delays is studied. The problem of exponential stability of time-delay systems has been investigated by using Lyapunov functional method. We will convert the system of multiple time delays into a single time delay system and show that if the old system is stable then the new one is so. Then we investigate the stability of converted new ...
متن کاملSpectral Clustering with Links and Attributes
If relational data contain communities—groups of inter-related items with similar attribute values—a clustering technique that considers attribute information and the structure of relations simultaneously should produce more meaningful clusters than those produced by considering attributes alone. We investigate this hypothesis in the context of a spectral graph partitioning technique, consideri...
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: ACM SIGMOD Record
سال: 1990
ISSN: 0163-5808
DOI: 10.1145/93605.98742