Rough IPFCM Clustering Algorithm and Its Application on Smart Phones with Euclidean Distance
New interval clustering technology for symbolic data analysis (SDA) on smart phones is shown to be beneficial for mobile computing devices for smart data analysis in this paper. A new interval clustering method that combined the rough set with interval possibilistic fuzzy C-means (IPFCM) algorithm u...
Hlavní autoři: | Chih-Ming Chen, Sheng-Chieh Chang, Chen-Chia Chuang, Jin-Tsong Jeng |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
MDPI AG
2022-05-01
|
Edice: | Applied Sciences |
Témata: | |
On-line přístup: | https://www.mdpi.com/2076-3417/12/10/5195 |
Podobné jednotky
-
New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis
Autor: Sheng-Chieh Chang, a další
Vydáno: (2023-11-01) -
A Fully-Unsupervised Possibilistic C-Means Clustering Algorithm
Autor: Miin-Shen Yang, a další
Vydáno: (2018-01-01) -
Bilateral Weighted Fuzzy C-Means Clustering
Autor: A. H. Hadjahmadi, a další
Vydáno: (2012-06-01) -
Heuristic possibilistic clustering for detecting optimal number of elements in fuzzy clusters
Autor: Viattchenin Dmitri A.
Vydáno: (2016-03-01) -
PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors
Autor: Ning Ma, a další
Vydáno: (2025-02-01)