A survey on nature inspired metaheuristic algorithms for partitional clustering
The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …
1957. Since then many classical partitional clustering algorithms have been reported based …
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems
The landuse or land-cover map depicts the physical coverage of the Earth's terrestrial
surface according to its use. Landuse map generation from remotely sensed images is one …
surface according to its use. Landuse map generation from remotely sensed images is one …
Formal language models for finding groups of experts
S Liang, M De Rijke - Information Processing & Management, 2016 - Elsevier
The task of finding groups or teams has recently received increased attention, as a natural
and challenging extension of search tasks aimed at retrieving individual entities. We …
and challenging extension of search tasks aimed at retrieving individual entities. We …
Image Segmentation using Hybrid Ant Colony Optimization: A Review
Nowadays segmentation is a promising research topic in image processing due to its
applications in many fields like robotics, medical, remote sensing, facial recognition, satellite …
applications in many fields like robotics, medical, remote sensing, facial recognition, satellite …
Ant colony optimization for image segmentation
XN Wang, YJ Feng, ZR Feng - 2005 international conference on …, 2005 - ieeexplore.ieee.org
It is found that the multistage decision algorithm for image segmentation with active contour
model (ACM) is similar to ant colony optimization (ACO). By means of constructing solution …
model (ACM) is similar to ant colony optimization (ACO). By means of constructing solution …
A novel ant-based clustering algorithm using the kernel method
L Zhang, Q Cao - Information Sciences, 2011 - Elsevier
A novel ant-based clustering algorithm integrated with the kernel (ACK) method is proposed.
There are two aspects to the integration. First, kernel principal component analysis (KPCA) …
There are two aspects to the integration. First, kernel principal component analysis (KPCA) …
Aggregation pheromone metaphor for semi-supervised classification
This article presents a novel 'self-training'based semi-supervised classification algorithm
using the property of aggregation pheromone found in real ants. The proposed method has …
using the property of aggregation pheromone found in real ants. The proposed method has …
A novel ant-based clustering algorithm using Renyi entropy
L Zhang, Q Cao, J Lee - Applied Soft Computing, 2013 - Elsevier
Ant-based clustering is a type of clustering algorithm that imitates the behavior of ants. To
improve the efficiency, increase the adaptability to non-Gaussian datasets and simplify the …
improve the efficiency, increase the adaptability to non-Gaussian datasets and simplify the …
Aggregation pheromone density based pattern classification
The study of ant colonies behavior and their self-organizing capabilities is of interest to
machine learning community, because it provides models of distributed adaptive …
machine learning community, because it provides models of distributed adaptive …
[PDF][PDF] 一种改进蚁群算法的睫毛提取
朱立军， 苑玮琦 - 光电工程, 2016 - researching.cn
睫毛检测是虹膜识别预处理阶段的一个重要环节, 本文提出一种基于改进蚁群算法的睫毛提取
方法. 该方法首先通过引入睫毛区域内, 外方向因子使得人工蚂蚁能快速聚集到睫毛边缘 …
方法. 该方法首先通过引入睫毛区域内, 外方向因子使得人工蚂蚁能快速聚集到睫毛边缘 …