The k-means algorithm is generally the most known and used clustering method. There are various extensions of to be proposed in literature. Although it an unsupervised learning pattern recognition machine learning, its always influenced by initializations with a necessary number clusters priori. That is, not exactly In this paper, we construct schema for so that free without parameter selection can also simultaneously find optimal clusters. propose novel (U-k-means) automatically finding...

The k-means clustering algorithm is the oldest and most known method in cluster analysis. It has been widely studied with various extensions applied a variety of substantive areas. Since internet, social network, big data grow rapidly, multi-view become more important. For analyzing data, algorithms have studied. However, literature cannot give feature reduction during procedures. In general, there often exist irrelevant components sets that may cause bad performance for these algorithms....

The k-means algorithm with its extensions is the most used clustering method in literature. But, and various are generally affected by initializations a given number of clusters. On other hand, always treat data points equal importance for feature components. There several feature-weighted proposed literature, but, these do not give reduction behavior. In this paper, based on entropy-regularized terms we can construct novel algorithm, called Entropy-k-means, such that it be free without...

The rapid development in information technology makes it easier to collect vast numbers of data through the cloud, internet and other sources information. Multiview clustering is a significant way for multiview that may come from multiple ways. fuzzy c-means (FCM) algorithm (single-view) datasets was extended process literature, called FCM (MV-FCM). However, most MV-FCM algorithms their extensions literature need prior about number clusters are also highly influenced by initializations. In...

With current technological developments, machine learning has become one of the most popular methods, algorithms is k-nearest neighbors (KNN). Machine been widely used in medical field to analyze datasets, this study (KNN) algorithm will be because its good level accuracy recognition and included supervised group. The results showed method recognizing x-ray images tuberculosis (TB) using SURF feature extraction with an average 73%.

Regression analysis is a statistical that aims to model the relationship between response variable and predictor variable. If distributes Poisson, regression used Poisson regression. The main problem of this method if applied spatial data. To overcome data problem, be Geographically Weighted (GWPR) i.e. local form where location noted. results showed GWPR parameters estimation Maximum Likelihood Estimator (MLE) was solved by using Newton-Raphson iteration. In study concept geographical...

In this paper, we show two new variants of multi-view k-means (MVKM) algorithms to address data. The general idea is outline the distance between $h$-th view data points $x_i^h$ and cluster centers $a_k^h$ in a different manner centroid-based approach. Unlike other methods, our proposed methods learn by calculating similarity using Euclidean norm space Gaussian-kernel, namely as with exponent (MVKM-ED). By simultaneously aligning stabilizer parameter $p$ kernel coefficients $\beta^h$,...

The increasing effect of Internet Things (IoT) unlocks the massive volume availability Big Data in many fields. Generally, these may be a non-independently and identically distributed fashion (non-IID). In this paper, we have contributions such way enable multi-view k-means (MVKM) clustering to maintain privacy each database by allowing MVKM operated on local principle clients' data. This work integrates exponential distance transform weighted Euclidean so that it can make full use...

Bank is a type of business that deals with saving, circulation money, deposits and others. The number services provided by banks very diverse, this depends on the capabilities each bank. more capable better bank is, it will offer. Introducing product directly has been commonly used for various industries, one them banking industry. In introducing products, can conduct market analysis utilizing information technology space assist in making decisions. By analyzing marketing data, be to select...

Many telecommunication companies try to predict customer churn used supervised learning. This article studies the critical condition in telecommunications services industry (telco) by using analytics tools of unsupervised We examine seven different algorithms for solving most crucial assets a business numerous dynamic and competitive within marketplace, which data available Kaggle. The results indicate that use led keep customers are likely churn. Based on our results, some suggestions...

Dengue hemorrhagic fever (DHF) has become an endemic in major cities Indonesia. Climate change, and poor level of awareness knowledge the community Indonesia causes case DHF to continue exist it tends increase. In extraordinary events 2015 morbidity rate reached 50.75. The Intergovernmental Panel on Change (IPCC) prediction 1996 stated that incidence dengue will increase threefold from 2070, if environment conditions do not change. This study aims produce a system dynamics model with...

ABSTRACT
 
 This study aims to determine and analyze the effect of Total Debt Working Capital on Net Profit, either partially or simultaneously in Consumer Goods Industrial Sector Manufacturing Companies listed Indonesia Stock Exchange for 2017-2020 period. The population this is period, totaling 52 companies. sample selection used purposive sampling technique. number samples obtained as many 31 Data through www.idx.co.id. analytical method multiple linear regression analysis with...

The slaughterhouse wastewater is rich of oil and fat it may inhabit by biosurfactant producing bacteria. Isolation the bacteria needed in order to find out a that can be used maintain polluted area through bioremediation process. To isolate identify biosurfactant-producing bacteria, study has been conducted on July September 2020. samples were obtained from at Cipta Karya street Pekanbaru, Riau Province samplings three times. isolation was TSB (Tryptic Soy Broth) incubated for 24 hours. Then...