In this article, we propose a new grey clustering probability model. That is, grey whiteness function is the probability when score in the clustering. And the weight is the proportion of the thresholds. As an illustrative example, we use the toolboxes developed for carrying on an analysis of the test scores of postgraduate’s ability on innovation. The evaluation process successfully shows that the toolboxes are fairly convenient, quite efficient
We present a novel algorithm called PG-means which is able to learn the number of clusters in a clas...
Abstract—Clustering is used in many fields, including machine learning, data mining, financial mathe...
Clustering is one of the most used tools in data analysis. In the last decades, due to the increasin...
Abstract — The theme of this paper is to design a Matlab toolbox of GM(1,1) model for the purpose of...
Purpose – The purpose of this paper is to present two novel grey cluster evaluation models to solve...
In 2009, Yu et al. proposed a multimodal probability model (MPM) for clustering. This paper makes ad...
Abstract.Regional technological innovation presents both the general development of regional economy...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Cluster analysis is a tool for data analysis. It is a method for finding clusters of a data set with...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
[[abstract]]A grey-based clustering method was proposed and applied on fuzzy system design. A new gr...
[[abstract]]本文提出一個以資料間的灰關聯分析為基礎的資料聚類方法。由資料間的灰關聯分析結果,我們可以經由一個閥值的設定來判斷資料與資料間的相似關係,再利用這個相似度的測量結果將資料分類。由...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
The gray prediction model, based on the GM(1,1) method, is an important branch of gray theory with t...
[[abstract]]Though the criteria and the results of the model students’ selection can’t be satisfied ...
We present a novel algorithm called PG-means which is able to learn the number of clusters in a clas...
Abstract—Clustering is used in many fields, including machine learning, data mining, financial mathe...
Clustering is one of the most used tools in data analysis. In the last decades, due to the increasin...
Abstract — The theme of this paper is to design a Matlab toolbox of GM(1,1) model for the purpose of...
Purpose – The purpose of this paper is to present two novel grey cluster evaluation models to solve...
In 2009, Yu et al. proposed a multimodal probability model (MPM) for clustering. This paper makes ad...
Abstract.Regional technological innovation presents both the general development of regional economy...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Cluster analysis is a tool for data analysis. It is a method for finding clusters of a data set with...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
[[abstract]]A grey-based clustering method was proposed and applied on fuzzy system design. A new gr...
[[abstract]]本文提出一個以資料間的灰關聯分析為基礎的資料聚類方法。由資料間的灰關聯分析結果,我們可以經由一個閥值的設定來判斷資料與資料間的相似關係,再利用這個相似度的測量結果將資料分類。由...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
The gray prediction model, based on the GM(1,1) method, is an important branch of gray theory with t...
[[abstract]]Though the criteria and the results of the model students’ selection can’t be satisfied ...
We present a novel algorithm called PG-means which is able to learn the number of clusters in a clas...
Abstract—Clustering is used in many fields, including machine learning, data mining, financial mathe...
Clustering is one of the most used tools in data analysis. In the last decades, due to the increasin...