Understanding and explaining Delta measures for authorship
9 juin 2017 tion feature scaling
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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