[HTML][HTML] Swarm intelligence algorithms in text document clustering with various benchmarks

S Selvaraj, E Choi - Sensors, 2021 - mdpi.com
Text document clustering refers to the unsupervised classification of textual documents into
clusters based on content similarity and can be applied in applications such as search …

Optimal text document clustering enabled by weighed similarity oriented jaya with grey wolf optimization algorithm

G Venkanna, DKF Bharati - The Computer Journal, 2021 - academic.oup.com
Owing to scientific development, a variety of challenges present in the field of information
retrieval. These challenges are because of the increased usage of large volumes of data …

Double clustering based neural feedback method for unstructured text data

S Sarannya, M Venkatesan… - Journal of Computational …, 2021 - ingentaconnect.com
Text clustering has now a days become a very major technique in many fields including data
mining, Natural Language Processing etc. It's also broadly used for information retrieval and …

A Document Clustering Approach Using Shared Nearest Neighbour Affinity, TF-IDF and Angular Similarity

M Goswami - … Data Communication Technologies and Internet of …, 2021 - Springer
Quantum of data is increasing in an exponential order. Clustering is a major task in many
text mining applications. Organizing text documents automatically, extracting topics from …

Characteristic Analysis for Cooperatives Based on Cooperative Clustering in Cianjur

BE Putro, D Indrawati - Proceedings of the 4th Asia Pacific Conference …, 2021 - dl.acm.org
Cooperatives are a venture that can provide a solution to society's need for life-based on the
spirit of help. The position of cooperatives in Indonesia is very important as one of the pillars …