Clustering Data Polutan Udara Kota Pekanbaru dengan Menggunakan Metode K-Means Clustering
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 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 کاملA Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data
The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...
متن کاملData Clustering: 50 Years Beyond K-means
Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organisms into taxonomic ranks: domain, kingdom, phylum, class, etc.). Cluster analysis is the formal study of algorithms and methods for grouping, or clustering, objects according to measured or perceived intrinsic characte...
متن کاملCanonical k-Means Clustering for Functional Data
Thaddeus Tarpey and Eva Petkova 1 Department Mathematics and Statistics, Wright State University, Dayton, Ohio 45435, [email protected]. 2 Department of Child and Adolescent Psychiatry, New York University, New York, NY 10016-6023 Abstract Cluster analysis is a powerful tool for discovering sources of heterogeneity in data. However, clinically interesting sources of heterogeneity, such...
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: Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi
سال: 2018
ISSN: 2599-3321,2460-738X
DOI: 10.24014/coreit.v3i2.4419