Comparison of neural models for document clustering
نویسندگان
چکیده
We compared the application of different algorithms to document clustering. The algorithms studied were Fuzzy C-Means, Fuzzy ART, Fuzzy ART for Fuzzy Clusters, Fuzzy Max-Min, and the Kohonen neural network (only the first is not a neural network). We generated a testbed from LISA, using some of the descriptors corresponding to the different records for the comparison of the results. The best results were found with Kohonen’s algorithm which also organizes the clusters topologically. We end by discussing in more detail the possibilities offered by Kohonen’s algorithm. 2003 Elsevier Inc. All rights reserved.
منابع مشابه
A Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملThe Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers
Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...
متن کاملThe Application of Combined Fuzzy Clustering Model and Neural Networks to Measure Valuably of Bank Customers
Currently, acquisition of resources in banks is subject to attraction of the resources of banking customers. Meanwhile, the Bank’s valuable customers are one of the best resources to make profit for banks. Several different models are introduced for evaluation of profitability of the customers; but most of them are classical models and they are unable to evaluate the customers in complete and o...
متن کاملCombination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting
In order to provide an efficient conversion and utilization of solar power, solar radiation datashould be measured continuously and accurately over the long-term period. However, the measurement ofsolar radiation is not available to all countries in the world due to some technical and fiscal limitations. Hence,several studies were proposed in the literature to find mathematical and physical mod...
متن کاملComparison of neural models for document clustering
12 We compared the application of different algorithms to document clustering. The 13 algorithms studied were Fuzzy C-Means, Fuzzy ART, Fuzzy ART for Fuzzy Clusters, 14 Fuzzy Max-Min, and the Kohonen neural network (only the first is not a neural net15 work). We generated a testbed from LISA, using some of the descriptors corresponding 16 to the different records for the comparison of the resul...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003