Cohesive Pair-Wises Constrained Deep Embedding for Semi-Supervised Clustering with Very Few Labeled Samples*

Jing Zhang,Guiyan Wei,Yonggong Ren

#Semi-supervised learning #clustering #auto-encoder network #pair-wise

Image Compression based on Iteration-Free Fractal and using Fuzzy Clustering on DCT Coefficients

Sobia Mahalingam,Valarmathi Lakshapalam,Saranya Ekabaram

#Fractal image compression #fuzzy clustering #DCT coefficients #contractive affine transformation

An Unsupervised Feed Forward Neural Network Method for Efficient Clustering

Roya Asadi,Mitra Asadi,Shokoofeh Asadi

#Artificial neural network #feed forward neural network #unsupervised learning #clustering #real weight

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

TSO Clustered Protocol to Extend Lifetime of IoT Based Mobile Wireless Sensor Networks

Giji Kiruba Dasebenezer,Benita Joselin

#MWSN #clustering #sensor nodes #TSO #PSO

Genetic Algorithm with Random and Memory Immigrant Strategies for Solving Dynamic Load Balanced Clustering Problem in Wireless Sensor Networks

Mohaideen Pitchai

#Wireless sensor networks #genetic algorithm #load balanced clustering #random immigrants #memory immigrants

Segmentation of Mammogram Abnormalities Using Ant System based Contour Clustering Algorithm

Sudha Subramanian,Ganesan Rasu Thevar

#Mammogram #ant colony optimization #segmentation #ant clustering

MAPNEWS: A Framework for Aggregating and Organizing Online News Articles

Jeelani Ahmed,Muqeem Ahmed

#News aggregation #information retrieval #clustering #data aggregation #web scrapping

A Technique for Burning Area Identification Using IHS Transformation and Image Segmentation

Abstract: In this paper, we have designed and developed a tec hnique for burning area identification using Intensity Hue

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Privacy-Preserving Data Mining in Homogeneous

Department of Communication Electronics and Compute r Engineering, Helwan University, Egypt

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A WK-Means Approach for Clustering

Kebangsaan Malaysia, Malaysia

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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

Two Layer Defending Mechanism against DDoS Attacks

# DDoS # hop count # IP2HC table # clustering # IP spoofi ng # testbed

Nagesh Vadaparthi1, Srinivas Yerramalli2, Suresh Penumatsa3, and Sitharama Poosapati4

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An Innovative Two-Stage Fuzzy kNN-DST

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Sudhanshu Gupta and Deepak Garg

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Clustering with Probabilistic Topic Models on

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An Improved Clustering Algorithm for Text

Abstract: Thanks to advances in information and communication technologies, there is a prominent increase in the amount of

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A Dynamic Sliding Load Balancing Strategy in Distributed Systems Ahmad Dalal ah

perform a load balancing process. Upon the completion of a given period, the groups are to be rotated by shifting each group

#Load balancing # distributed systems # scalability # message passing

Image Segmentation Based on Watershed and Edge Detection Techniques Nassir Salman

perform image segmentation and edge detection tasks. We obtained an initial segmentation based on K-means clustering

#Watershed # difference in strength map # K-means # edge detection # image segmentation