Suchergebnisse - Minimum spanning tree-based clustering algorithms

Fast approximate minimum spanning tree based clustering algorithm von Jothi, R., Mohanty, Sraban Kumar, Ojha, Aparajita

“… out.•Quality of clusters from the approximate MST is maintained. Minimum Spanning Tree (MST) based clustering algorithms have been employed successfully to detect clusters of heterogeneous nature …”
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Minimum Spanning Tree Based Clustering Algorithms von Grygorash, O., Yan Zhou, Jorgensen, Z.

“… In this paper, we propose two minimum spanning tree based clustering algorithms. The first algorithm produces a k-partition of a set of points for any given k …”
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Enhancing minimum spanning tree-based clustering by removing density-based outliers von Wang, Xiaochun, Wang, Xia Li, Chen, Cong, Wilkes, D. Mitchell

“… Traditional minimum spanning tree-based clustering algorithms only make use of information about edges contained in the tree to partition a data set …”
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A Divide-and-Conquer Approach for Minimum Spanning Tree-Based Clustering von Xiaochun Wang, Xiali Wang, Wilkes, D.M.

“… Due to their ability to detect clusters with irregular boundaries, minimum spanning tree-based clustering algorithms have been widely used in practice …”
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Functional grouping of similar genes using eigenanalysis on minimum spanning tree based neighborhood graph von Jothi, R., Mohanty, Sraban Kumar, Ojha, Aparajita

“… Minimum Spanning Tree (MST) based clustering algorithms have been successfully employed to detect clusters of varying shapes and sizes …”
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Minimum spanning tree‐based cluster analysis: A new algorithm for determining inconsistent edges von Şaar, Fadi, Topcu, Ahmet E.

“… ‐based rather than centroid‐based partitioning. Methods related to minimum spanning tree (MST …”
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Graph-based biomedical text summarization: An itemset mining and sentence clustering approach von Nasr Azadani, Mozhgan, Ghadiri, Nasser, Davoodijam, Ensieh

“… •Frequent itemset mining is combined with graph structure.•Main subtopics are identified using sentence clustering …”
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Minimum spanning tree based clustering for outlier detection von Peter, S. John

“… Minimum spanning tree based clustering algorithm is capable of detecting clusters with irregular boundaries …”
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An efficient minimum spanning tree based clustering algorithm von Jana, P.K., Naik, A.

“… In this paper, we present a clustering algorithm that is inspired by minimum spanning tree. To automate and evaluate our algorithm, we incorporate the concept of ratio between the intra-cluster distance …”
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A minimum spanning tree based clustering algorithm for high throughput biological data von Pirim, Harun

“… A new minimum spanning tree (MST) based heuristic for clustering biological data is proposed …”
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An improved parallel minimum spanning tree based clustering algorithm for microarrays data analysis von Elsayad, D., Khalifa, A., Khalifs, Mohammed Essam, El-Horbaty, El-Saved

“… So, parallel algorithms are needed. One of the attempts is a parallel minimum spanning tree (MST)-based clustering technique, called CLUMP, which identifies dense clusters in a noisy background …”
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A fast hybrid clustering technique based on local nearest neighbor using minimum spanning tree von Mishra, Gaurav, Mohanty, Sraban Kumar

“… •The computational complexity of the proposed hybrid technique is sub-quadratic.•Minimum spanning tree is used to identify the nearest neighbor of each data points …”
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Meta clusters through minimum spanning tree based clustering for performance analysis of students von Karthikeyan, T., Peter, S. John, Chidambaranathan, S.

“… Minimum Spanning Tree based clustering algorithm is capable of detecting clusters with irregular boundaries …”
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A novel dynamic minimum spanning tree based clustering method for image mining von Peter, S. John

“… We present a novel Minimum Spanning Tree based approach to image segmentation which can be applied to either greyscale or color image …”
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A minimum spanning tree based partitioning and merging technique for clustering heterogeneous data sets von Mishra, Gaurav, Mohanty, Sraban Kumar

“… Clustering being an unsupervised learning technique, has been used extensively for knowledge discovery due to its less dependency on domain knowledge …”
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Structural similarity clustering for detection of outliers and hubs using minimum spanning tree von Peter, S. John

“… A number of clustering algorithms exist that can solve the problem of clustering. Minimum spanning tree based clustering algorithm is capable of detecting clusters with irregular boundaries …”
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A Comparative Analysis on Performance of Minimum Spanning Tree and K-Means Clustering Based Vertical Fragmentation Algorithm von Dahal, Abhishesh, Joshi, Shashidhar Ram

“… Two partitioning algorithms namely Minimum Spanning Tree based vertical fragmentation algorithm and K-Means clustering based vertical fragmentation algorithm are employed to generate variety …”
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MCMSTClustering: defining non-spherical clusters by using minimum spanning tree over KD-tree-based micro-clusters von Şenol, Ali

“… In this study, we proposed a novel clustering algorithm named as MCMSTClustering (Defining Non-Spherical Clusters by using Minimum Spanning Tree over KD-Tree-based Micro-Clusters …”
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A Novel Minimum Spanning Tree Clustering Algorithm Based on Density Core von Gao, Qiang, Gao, Qin-Qin, Xiong, Zhong-Yang, Zhang, Yu-Fang, Zhang, Min

“… Firstly, we employ the reverse nearest neighbors to extract core objects. Secondly, we use the minimum spanning tree algorithm to cluster the core objects …”
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A scaled-MST-based clustering algorithm and application on image segmentation von Li, Jia, Wang, Xiaochun, Wang, Xiali

“… Minimum spanning tree (MST)-based clustering is one of the most important clustering techniques in the field of data mining …”
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