A Clustering Method Based on the Maximum Entropy Principle
نویسندگان
چکیده
منابع مشابه
A Clustering Method Based on the Maximum Entropy Principle
Clustering is an unsupervised process to determine which unlabeled objects in a set share interesting properties. The objects are grouped into k subsets (clusters) whose elements optimize a proximity measure. Methods based on information theory have proven to be feasible alternatives. They are based on the assumption that a cluster is one subset with the minimal possible degree of “disorder”. T...
متن کاملA Hierarchical Multilevel Image Thresholding Method Based on the Maximum Fuzzy Entropy Principle
Image thresholding and edge detection are crucial in image processing and understanding. In this chapter, the authors propose a hierarchical multilevel image thresholding method for edge information extraction based on the maximum fuzzy entropy principle. In order to realize multilevel thresholding, a tree structure is used to express the histogram of an image. In each level of the tree structu...
متن کاملA Novel Method for Predicting Network Traffic Based on Maximum Entropy Principle
The network of application service is becoming more and more increasingly complex, with the development of network communication technology, which puts forward higher requirements on network behavior characteristics, the network management and traffic control, therefore, network traffic analysis and prediction is more and more important significance. This paper presents a novel network traffic ...
متن کاملA gray-level threshold selection method based on maximum entropy principle
Ab..tract-The gray-level threshold selection method for im2 e segmen-tation presented here is based on the maximum entropy pri ciple. The optimal threshold value is determined by maximizing the , posteriori entropy subject to certain inequality constraints which are ,Ierived by means of special measures characterizing uniformity and the s 'ape of tbe Manu"cripl rcceivcd Novcmber 3. function h(x...
متن کاملACME: An Associative Classifier Based on Maximum Entropy Principle
Recent studies in classification have proposed ways of exploiting the association rule mining paradigm. These studies have performed extensive experiments to show their techniques to be both efficient and accurate. However, existing studies in this paradigm either do not provide any theoretical justification behind their approaches or assume independence between some parameters. In this work, w...
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: Entropy
سال: 2015
ISSN: 1099-4300
DOI: 10.3390/e17010151