However, these cannot be directly applied for clustering of nominal data, where domain values are discrete and have no ordering. In this paper various categorical data clustering algorithms are going to be addressed in detail. A detailed survey on existing algorithms will be made and the ...
Clustering Algorithms for Categorical Data Sets[聚类算法分类数据集](PPT-50),文档标题《Clustering Algorithms for Categorical Data Sets[聚类算..
Makwana, Partitioning clustering algorithms for handling numerical and categorical data: a review, 2013, 1311.7219v1Partitioning clustering algorithms for handling numerical and categorical data a reviewfDB]. Kodinariya T M,Makwana P R. http://arxiv.org/abs/1311.7219v2 . 2013...
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data - liruijia/kmodes
2. 聚类算法选择或设计(Clustering Algorithms) 算法的选择,往往伴随着相似度计算方法的选择。在文本挖掘中,最常用的相似度计算方法是余弦相似度。聚类算法有很多种,但是没有一个通用的算法可以解决所有的聚类问题。因此,需要认真研究要解决的问题的特点,以选择合适的算法。后面会有对各种文本聚类算法的介绍。
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data - huangyujiesufe/kmodes
transfer algorithmWe propose a new method for clustering categorical data. Clustering algorithms need to be designed specifically for categorical data because it has a different nature from numerical data. Here our focdoi:10.1007/978-3-642-53917-6_6Zhengrong Xiang...
The main focus of this paper is to investigate the commonalities between these two problems and the uses of these commonalities for the creation of new clustering algorithms for categorical data based on cross-fertilization between the two disjoint research fields. More precisely, we formally ...
Many metaheuristic algorithms have recently been reported in addition to the above-discussed algorithms for numerical and real-world engineering design optimization problems, including data clustering. For instance, ant colony optimization35, firefly algorithm36,37, flower pollination algorithm38, grey wolf...
Data objects with mixed numeric and categorical attributes are commonly encountered in real world. The k-prototypes algorithm is one of the principal algorithms for clustering this type of data objects. In this paper, we propose an improved k-prototypes algorithm to cluster mixed data. In our met...