[PDF] Minimax Bridgeness-Based Clustering for Hyperspectral Data





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Analysis of distance measures in spatial trajectory data clustering

Based on the type of data like Text Multimedia



Clustering with a new distance measure based on a dual-rooted tree

28 août 2012 from pairs of points in different clusters (low similarity). ... distance measure in other types of distance based clustering algorithms ...



Clustering Algorithm with a Greedy Agglomerative Heuristic and

1 juin 2022 glomerative heuristic and different types of distance measures. Then we test our approach on the applied problem.



Minimax Bridgeness-Based Clustering for Hyperspectral Data

28 sept. 2020 The minimax distance is another type of graph-based similarity measure that shows promise for data classification [15]. In this paper our main ...



Effect of Different Distance Measures on the Performance of K

Clustering algorithms are mainly divided into two types based on developed cluster properties: hierarchical and partitional. The hierarchical methods in 



Effect of Different Distance Measures in Result of Cluster Analysis

The clustering criterion may be expressed as cost function or some type of rule depending on the dataset. 4. Clustering Algorithms. Here a specific algorithm 



A New Type of Distance Metric and Its Use for Clustering

The widely used clustering techniques may use different kind of distances to measure the separation between data samples. The well-known Euclidean distance 



Similarity Measure Selection for Categorical Data Clustering

9 déc. 2019 Most of the datasets are of mixed-type which means that they comprise different types of attributes



A Comparison Study on Similarity and Dissimilarity Measures in

11 déc. 2015 attributes with various types). Despite data type the distance measure is a main component of distance-based clustering algorithms.

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