HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

Hybridized Clustering Algorithm and Ensemble Learning for Monitoring Paddy Crop Growth Analysis

Sathiya Priya.R,Rahamathunnisa.U

#Crop monitoring #satellite images #vegetation index #eigenvector #eigenvalue #hybridized clustering algorithm #ensemble learning

A Hadoop Based Approach for Community Detection on Social Networks Using Leader Nodes

Mohamed Iqbal,Kesavarao Latha

#Social network #big data #map reduce #community detection #leader nodes

Segmentation of Mammogram Abnormalities Using Ant System based Contour Clustering Algorithm

Sudha Subramanian,Ganesan Rasu Thevar

#Mammogram #ant colony optimization #segmentation #ant clustering

Balanced Workload Clusters for Distributed Object Oriented Software

Abstract: When clustering objects to be allocated on a numbe r of nodes, most researches focus only on either the

# Load balance # distributed system # software restruct uring # cluster algorithms

Weighted Delta Factor Cluster Ensemble Algorithm for Categorical Data Clustering in Data Mining

robustness, stability and the quality of individual clustering systems, it is intensely observed that this approach in most cases

#Clustering # cluster ensembles # consensus function # data mining # refined matrix # similitude measures

Semantic Similarity based Web Document Classification Using Support Vector Machine

Abstract: With the rapid growth of information on the World Wide Web (WWW), classification of web documents has become

#Document classification # text mining # SVM # latent semantic indexing

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

India

#Fast k-means # fast k-mean (weight) # fast k- means (careful seeding) # and particle swarm clustering algorithm

Identification of an Efficient Filtering- Segmentation Technique for Automated Counting

Abstract: The counting of fish fingerlings is an important process in determining the accurate consumption of feeds for a

#Digital image processing # filtering # segmentation # image normalization # threshold

MR Brain Image Segmentation Using an Improved Kernel Fuzzy Local Information C-Means Based

Methods

#Image segmentation # outlier rejection # FCM # PSO # spatial fuzzy clustering # wavelet transform # level set methods

A Method for Finding the Appropriate Number of Clusters

Abstract: Drawback of almost partition based clustering algorithms is the requirement for the number of clusters specified at

#Method for finding the number of clusters # appropriate a number of clusters # fuzzy c-means # clustering algorithm

Incorporating Unsupervised Machine Learning

Maragathavalli Palanivel and Kanmani Selvadurai

#Test case selection and prioritization # group-wise clustering

Pulung Andono and Catur Supriyanto

#Fingerprint classification; bag of visual word model; clustering algorithm; speeded-up robust feature; contrast limited adaptive histogram equalization

A Dynamic Linkage Clustering using KD-Tree

2Department of Computer Engineering, Islamic Univers ity of Gaza, Palestine

# Data clustering # density-based clustering algorithm # KD-tree # dynamic linkage clustering # DBSCAN

An Optimized and Efficient Radial Basis Neural Network using Cluster Validity Index for Diabetes

Classification

#Radial basis function networks # classification # medical diagnosis # diabetes # optimal number of clusters # genetic algorithm

Preceding Document Clustering by Graph Mining Based Maximal Frequent Termsets Preservation

Syed Shah and Mohammad Amjad

#Bipartite graph # graph mining # frequent termsets mining # bisecting K-means

Traffic-Aware Clustering Scheme for MANET Using Modified Elephant Herding Optimization

Algorithm

#Clustering # MANET # traffic-aware # elephant heard optimization # cluster-head # large-scale network

A study on Two-Stage Mixed Attribute Data Clustering Based on Density Peaks

Shihua Liu, Hao Zhang, and Xianghua Liu

#Mixed data clustering # density peaks # k-prototypes algorithm # validity index

Supervised Fuzzy C-Means Techniques to Solve the Capacitated Vehicle Routing Problem

Mohamed Shalaby1,2, Ayman Mohammed1, and Sally Kassem1,2 1Smart Engineering Systems Research Center, Nile University, Egypt 2Faculty of computers and Artificial Intelligence, Cairo University, Egypt

#Capacitated vehicle routing problem # supervised fuzzy c-means # fuzzy clustering

A Novel Approach of Clustering Documents: Minimizing Computational Complexities in

Accessing Database Systems, Khalid Mohiuddin, Mohammed Abdul Khaleel, , ,

#Clustering algorithms # document categorization # document clustering # hamiltonian graph # similarity measure