Online updating of active function cross-entropy clustering

نویسندگان
چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Cross-entropy clustering

We build a general and highly applicable clustering theory, which we call cross-entropy clustering (shortly CEC) which joins advantages of classical kmeans (easy implementation and speed) with those of EM (affine invariance and ability to adapt to clusters of desired shapes). Moreover, contrary to k-means and EM, CEC finds the optimal number of clusters by automatically removing groups which ca...

متن کامل

Online variants of the cross-entropy method

The cross-entropy method [2] is a simple but efficient method for global optimization. In this paper we provide two online variants of the basic CEM, together with a proof of convergence.

متن کامل

Entropy-based Consensus for Distributed Data Clustering

The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...

متن کامل

Detection of Elliptical Shapes via Cross-Entropy Clustering

The problem of finding elliptical shapes in an image will be considered. We discuss the new solution which uses cross-entropy clustering, providing the theoretical background of this approach. The proposed algorithm allows search for ellipses with predefined sizes and position in the space. Moreover, it works well in higher dimensions.

متن کامل

Image Segmentation with Use of Cross-Entropy Clustering

We present an image segmentation approach which is invariant to affine transformation – the result after rescaling the picture remains almost the same as before. Moreover, the algorithm detects automatically the correct number of groups. We show that the method is capable of discovering general shapes as well as small details by the appropriate choice of only two input parameters.

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

ژورنال

عنوان ژورنال: Pattern Analysis and Applications

سال: 2018

ISSN: 1433-7541,1433-755X

DOI: 10.1007/s10044-018-0701-8