نتایج جستجو برای: k means

تعداد نتایج: 702376  

Journal: :Engineering, Technology & Applied Science Research 2018

Journal: :IEEE Signal Processing Letters 2018

Journal: :Lecture Notes in Computer Science 2021

Spherical k-means is a widely used clustering algorithm for sparse and high-dimensional data such as document vectors. While several improvements accelerations have been introduced the original algorithm, not all easily translate to spherical variant: Many acceleration techniques, algorithms of Elkan Hamerly, rely on triangle inequality Euclidean distances. However, uses Cosine similarities ins...

Journal: :Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 2005

Journal: :Journal of the Japanese Society of Computational Statistics 1990

Journal: :Mathematical Problems in Engineering 2014

2013
Sindhuja Ranganathan Tapio Elomaa

TAMPERE UNIVERSITY OF TECHNOLOGY Master’s Degree Program in Information Technology Ranganathan, Sindhuja: Improvements to k-means clustering Master’s thesis, 42 November 2013 Major Subject: Software Systems Examiner(s): Professor Tapio Elomaa

2003
Charles Elkan

The -means algorithm is by far the most widely used method for discovering clusters in data. We show how to accelerate it dramatically, while still always computing exactly the same result as the standard algorithm. The accelerated algorithm avoids unnecessary distance calculations by applying the triangle inequality in two different ways, and by keeping track of lower and upper bounds for dist...

Journal: :CoRR 2015
Filip Radenovic Hervé Jégou Ondrej Chum

This paper addresses the construction of a short-vector (128D) image representation for large-scale image and particular object retrieval. In particular, the method of joint dimensionality reduction of multiple vocabularies is considered. We study a variety of vocabulary generation techniques: different k-means initializations, different descriptor transformations, different measurement regions...

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