Nature-inspired optimization algorithms for text document clustering—a comprehensive analysis
Text clustering is one of the efficient unsupervised learning techniques used to partition a
huge number of text documents into a subset of clusters. In which, each cluster contains …
huge number of text documents into a subset of clusters. In which, each cluster contains …
A hybrid approach using genetic algorithm and the differential evolution heuristic for enhanced initialization of the k-means algorithm with applications in text …
D Mustafi, G Sahoo - Soft Computing, 2019 - Springer
In this paper, we propose a heuristic-based algorithm to improve the initial seeding of the k-
means clustering algorithm. The proposed algorithm primarily aims to improve the initial …
means clustering algorithm. The proposed algorithm primarily aims to improve the initial …
基于关联语义链网络的文本聚类方法
何祥， 骆祥峰 - 上海大学学报(自然科学版), 2014 - journal.shu.edu.cn
基于关联语义链网络提出了一种自适应分裂的文本聚类方法. 该方法通过从关联语义链网络中
检测出各个社团结构作为文本集中的类别, 以避免对聚类数目的预先确定. 同时 …
检测出各个社团结构作为文本集中的类别, 以避免对聚类数目的预先确定. 同时 …
[图书][B] Buku Model Berbasis Rule Untuk Ekstraksi Nama Obat Dari Dokumen Label Obat Nasional
M Sadikin - 2022 - books.google.com
Buku ini merupakan implementasi usaha penyebaran atas hasil penelitian yang ditujukan
untuk menemukan metode dan algoritme ekstraksi nama obat dari dokumen label obat …
untuk menemukan metode dan algoritme ekstraksi nama obat dari dokumen label obat …
Application of multivariate canonical harmonic trend analysis, singularity analysis with radius-areal metal amount and improved adaptive fuzzy self-organizing …
M Cao, L Lu, Y Zhong - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
How to more effectively perform anomaly detection of combination information has always
been an important issue for the scholars in various fields. In order to identify and extract the …
been an important issue for the scholars in various fields. In order to identify and extract the …
Multi-PFKCN: a fuzzy possibilistic clustering algorithm based on neural network
B Abidi, SB Yahia - … Conference on Fuzzy Systems (FUZZ-IEEE), 2013 - ieeexplore.ieee.org
The main moan that can addressed to the pioneering approaches of fuzzy clustering stand
in their approximate management of a noisy surroundings as well as their snugness …
in their approximate management of a noisy surroundings as well as their snugness …
A new algorithm for fuzzy clustering able to find the optimal number of clusters
A Balkis, SB Yahia… - 2012 IEEE 24th …, 2012 - ieeexplore.ieee.org
Tackling, within a classification task, to the problem of inaccuracy explains the development
of new theories that offer a formal treatment of imprecise information, especially the theory of …
of new theories that offer a formal treatment of imprecise information, especially the theory of …
Estimación de tendencia bursátil a corto plazo mediante técnicas de Soft-Computing. Aplicación práctica sobre valores del IBEX 35
A Peralta, R Rejas - Revista Cintex, 2016 - revistas.pascualbravo.edu.co
La predicción de comportamientos bursátiles es sin duda el principal problema al que suele
enfrentarse todo inversor del mercado de valores. Sin embargo, prever el comportamiento …
enfrentarse todo inversor del mercado de valores. Sin embargo, prever el comportamiento …
Marooned magic numbers-An adaptive congestion control architecture
TCP and other Internet transport protocols rely on series of hard-coded initial values for their
connection state, particularly for the congestion control parameters. For example, recently …
connection state, particularly for the congestion control parameters. For example, recently …
A Fuzzy Kwan–Cai Neural Network for Determining Image Similarity and for the Face Recognition
IF Iatan, IF Iatan - Issues in the Use of Neural Networks in Information …, 2017 - Springer
Similarity is a crucial issue in Image Retrieval (Iatan and Worring, BioSystems (Under
Review), 2016 [1]),(Nguyen and Worring, J Vis Lang Comput, 19: 203–224, 2008 …
Review), 2016 [1]),(Nguyen and Worring, J Vis Lang Comput, 19: 203–224, 2008 …