Empirical Analysis of Genetic Evolution Algorithm Based on Multi-layer Chromosome of Gene Expression Programming and K-means Clustering Algorithm
نویسندگان
چکیده
منابع مشابه
Empirical Analysis of Genetic Evolution Algorithm Based on Multi-Layer Chromosome of Gene Expression Programming and K-Means Clustering Algorithm
As hypertension has become one of the principal diseases affecting human health, and its prediction accuracy is a topic of concern for the medical professionals, so the computer-aided prediction model of target organ damage of primary hypertension is worthy of research. GEP model with simple chromosome, linear, compact, easily genetic manipulation can eliminate the correlation of gene expressio...
متن کاملPersistent 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 کاملEnhanced Clustering Based on K-means Clustering Algorithm and Proposed Genetic Algorithm with K-means Clustering
-In this paper targeted a variety of techniques, tactics and distinctive areas of the studies that are useful and marked because the crucial discipline of information mining technologies. The overall purpose of the system of statistics mining is to extract beneficial facts from a large set of information and changing it right into a shape that is comprehensible for in addition use. Clustering i...
متن کاملImproved K-means Clustering Algorithm Based on Genetic Algorithm
Through comparison and analysis of clustering algorithms, this paper presents an improved Kmeans clustering algorithm. Using genetic algorithm to select the initial cluster centers, using Z-score to standardize data, and take a new method to evaluate cluster centers, all this reduce the affect of isolated points, and improve the accuracy of clustering. Experiments show that the algorithm to fin...
متن کاملpersistent 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 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: The Open Automation and Control Systems Journal
سال: 2014
ISSN: 1874-4443
DOI: 10.2174/1874444301406011975