Hierarchy based firefly optimized K-means clustering for complex question answering
نویسندگان
چکیده
منابع مشابه
Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
متن کاملBPSO Optimized K-means Clustering Approach for Data Analysis
However, there exist some flaws in classical K-means clustering algorithm. First, the algorithm is sensitive in selecting initial centroids and can be easily trapped at a local minimum with regards to the measurement (the sum of squared errors). Secondly, the KM problem in terms of finding a global minimal sum of the squared errors is NP-hard even when the number of the clusters is equal to 2 o...
متن کاملOptimized data fusion for K-means Laplacian clustering
MOTIVATION We propose a novel algorithm to combine multiple kernels and Laplacians for clustering analysis. The new algorithm is formulated on a Rayleigh quotient objective function and is solved as a bi-level alternating minimization procedure. Using the proposed algorithm, the coefficients of kernels and Laplacians can be optimized automatically. RESULTS Three variants of the algorithm are ...
متن کاملAn Optimized k-means Algorithm for Selecting Initial Clustering Centers
Selecting the initial clustering centers randomly will cause an instability final result, and make it easy to fall into local minimum. To improve the shortcoming of the existing kmeans clustering center selection algorithm, an optimized k-means algorithm for selecting initial clustering centers is proposed in this paper. When the number of the sample’s maximum density parameter value is not uni...
متن کاملBPSO Optimized K means Clustering Approach for Medical Data Analysis
Data mining plays a very important role in the analysis of diseases and clustering approach makes it easier to classify the data collected in respective groups. Medicine companies and medical appliance manufacturer are benefitted from these data analysis. Now a days, this is done at a very large scale and has been named as big data analysis in which data size is of many terabytes. Optimization ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2020
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v17.i1.pp264-272