Anomaly clustering based on correspondence analysis

Anomaly clustering based on correspondence analysis

This thesis is submitted in partial fulfilment of the requirements for the degree of Masters of Science in Electrical and Electronic Engineering, 2016.

Bibliografiske detaljer
Hovedforfatter:	Islam, Humayra
Andre forfattere:	Ahmed, Dr. Tarem
Format:	Thesis
Sprog:	English
Udgivet:	BRAC Univeristy 2018
Fag:	Anomaly Cluster QR code Clustering algorithm
Online adgang:	http://hdl.handle.net/10361/9276

Lignende værker

The economics of clusters

A fast tree based cluster labeling algorithm for Monte Carlo simultaitons
af: Kamal, Marzuk M., et al.
Udgivet: (2010)

Extractive text summarization using Fuzzy-c-means clustering
af: Gani, Shafiul
Udgivet: (2019)

A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
af: Jafar, Zareef, et al.
Udgivet: (2021)

Qualitative classification of the breast cancer genome and clustering of the cancer gene network
af: Fatema, Kaniz, et al.
Udgivet: (2019)

Cluster analysis /
af: Aldenderfer, Mark S.
Udgivet: (1984)

Integration of data clustering to intelligent email classifier
af: Zisan, Shahriar Ahmed
Udgivet: (2019)

Clustering web pages based on doc type structure in a distributed manner
af: Kader, Kazi Samiul, et al.
Udgivet: (2015)

Competition, competitive advantage, and clusters

Identifying the best metrics to find the best quality clusters of genes from gene expression data
af: Choudhury, Joydhriti, et al.
Udgivet: (2019)

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
af: Anough, Ahmed Saquif Alam, et al.
Udgivet: (2019)

Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication
af: Uddin, Jia, et al.
Udgivet: (2016)

A holistic approach to promoting early child development: A cluster randomised trial of a group-based, multicomponent intervention in rural Bangladesh
af: Pitchik, Helen O, et al.
Udgivet: (2022)

Anomaly detection In IoT using machine learning algorithms
af: Arko, Aritro Roy, et al.
Udgivet: (2019)

Understanding university students’ fast food consumption behavior and associated health concern
af: Chowdhury, Md. Ridowan, et al.
Udgivet: (2018)

Site planning for cluster housing /
af: Untermann, Richard K.
Udgivet: (1977)

Engagement of husbands in a maternal nutrition program substantially contributed to greater intake of micronutrient supplements and dietary diversity during pregnancy: Results of a cluster-randomized program evaluation in Bangladesh
af: Nguyen, Phuong Hong, et al.
Udgivet: (2022)

Humanitarian response coordination architecture in Bangladesh Rohingya refugee crisis operation: practice, challenges and prospects
af: Ahmed, Khaled Masud
Udgivet: (2019)

Spatiotemporal heterogeneity of malnutrition indicators in children under 5 years of age in Bangladesh, 1999–2011
af: Hasan, Md Tanvir, et al.
Udgivet: (2022)

A 3D printed quick response encoded Orodispersible film for personalized medicine
af: Masud, Sinthia
Udgivet: (2021)

Learning algorithms for anomaly detection from images
af: Ahmed, Tarem, et al.
Udgivet: (2018)

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
af: Ahasan, Md Rakibul
Udgivet: (2022)

Evaluation of a mathematics program for preprimary children in rural Bangladesh
af: Opel, Aftab, et al.
Udgivet: (2016)

Analysis on dengue severity using machine learning approach
af: Sayeed, Sanjana, et al.
Udgivet: (2021)

Multi images retrieved for automatic intruder detection using kernel-based learning algorithm
af: Shahrear, S.M Fardin, et al.
Udgivet: (2016)

House Price Synchronization and Financial Openness : A Dynamic Factor Model Approach /
af: Katagiri, Mitsuru
Udgivet: (2018)

Assessing the water quality of canals in Dhaka city, Bangladesh
af: Rahman, Md. Kholilur, et al.
Udgivet: (2022)

Patterns and trends in food consumption in poor urban and rural households in Bangladesh: cluster analysis of household survey data
af: Halder, Shantana R, et al.
Udgivet: (2020)

Automated intruder detection from image sequences using minimum volume sets
af: Ahmed, Tarem, et al.
Udgivet: (2016)

Erratum: Prenatal and postnatal supplementation with lipid-based nutrient supplements reduces anemia and iron deficiency in 18-month-old Bangladeshi children: A cluster-randomized effectiveness trial
af: Matias, Susana L, et al.
Udgivet: (2022)

Graph data mining-based community clustering for gender-biased community detection of social media
af: Dev, Sanjoy, et al.
Udgivet: (2023)

Detecting anomalies in human eyes using structural similarity index measurement
af: Jahan, Monwar, et al.
Udgivet: (2019)

ML based performance assurance and VoC management of highly convergence mobile operator network.
af: Rahman, Md. Arifur
Udgivet: (2024)

Unsupervised semantic segmentation for localization of wetland area fluctuations
af: Tahsin, Anika, et al.
Udgivet: (2024)

Finding ideal geographical location for businesses using machine learning technique
af: Mahmud, Mir Ibtid, et al.
Udgivet: (2022)

Impact of COVID-19 : Nowcasting and Big Data to Track Economic Activity in Sub-Saharan Africa /
af: Buell, Brandon
Udgivet: (2021)

An approach to detect smartphone addiction through activity recognition and app usage behaviour
af: Uz Zaman, Nur, et al.
Udgivet: (2023)

Customer segmentation using K-means
af: Mahdee, Nafis, et al.
Udgivet: (2022)

Crowed source based traffic analysis using machine learning algorithm
af: Orthy, Marzia Khan, et al.
Udgivet: (2017)

Estimating the Impact of External Shocks on the ECCU : Application to the COVID Shock /
af: Parlak, Vivian
Udgivet: (2021)