Hierarchical Clustering-Based Cloaking Algorithm for Location-Based Services
نویسندگان
چکیده
منابع مشابه
Swap-based Clustering for Location-based Services
Clustering is an unsupervised learning method widely used in many fields, such as machine learning, pattern recognition, data mining and image analysis. The goal of this study is to investigate swap-based clustering and its application to location-based services. Swap-based clustering is a local search heuristic trying to find the optimal centroid locations by performing a sequence of centroid ...
متن کاملCloaking locations for anonymous location based services: a hybrid approach
An important privacy issue in Location Based Services(LBS) is to hide a user’s identity while still provide quality location based services. Previous work has addressed the problem of locational K-anonymity either based on centralized or decentralized schemes. However, a centralized scheme relies on an anonymizing server(AS) for location cloaking, which may become the performance bottleneck whe...
متن کاملGravitational Based Hierarchical Clustering Algorithm
We propose a new gravitational based hierarchical clustering algorithm using kdtree. kdtree generates densely populated packets and finds the clusters using gravitational force between the packets. Gravitational based hierarchical clustering results are of high quality and robustness. Our method is effective as well as robust. Our proposed algorithm is tested on synthetic dataset and results ar...
متن کاملAn Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks
LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...
متن کاملAn improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Korea institute of electronic communication sciences
سال: 2013
ISSN: 1975-8170
DOI: 10.13067/jkiecs.2013.8.8.1155