Amanote Research

Amanote Research

    RegisterSign In

DS-Means: Distributed Data Stream Clustering

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-32820-6_27
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer ScienceTheoretical Computer Science
Date

January 1, 2012

Authors
Alessio GuerrieriAlberto Montresor
Publisher

Springer Berlin Heidelberg


Related search

K-Means Based Data Stream Clustering Algorithm Extended With No. Of Cluster Estimation Method

International Journal of Advance Engineering and Research Development
2014English

Distributed Kernel K-Means for Large Scale Clustering

2017English

Distributed Clustering of Ubiquitous Data Streams

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Computer Science
2013English

Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms

Wirtschaftsinformatik
Information Systems
2019English

Out Lier Detection and Clustering Analysis in Data Stream Classification

International Journal of Science and Research (IJSR)
2016English

Using K-Means Mathod for Clustering Data With Omissions

Actual problems of automation and information technology
2019English

BPSO Optimized K-Means Clustering Approach for Data Analysis

International Journal of Computer Applications
2016English

K-Means for Streaming and Distributed Big Sparse Data

2016English

FPGA-based K-Means Clustering Using Tree-Based Data Structures

2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy