Microarrays are able to measure the patterns of expression of thousands of genes in a genome to give profiles that facilitate much faster analysis of biological processes for diagnosis, prognosis and tailored drug discovery. Microarrays, however, commonly have missing values which can result in erroneous downstream analysis. To impute these missing values, various algorithms have been proposed ...

This research work presents a method for automatic classification of medical images in two classes Normal and Abnormal based on image features and automatic abnormality detection. Our proposed system consists of four phases Preprocessing, Feature extraction, Classification, and Post processing. Statistical texture feature set is derived from normal and abnormal images. We used the KNN classifie...

Dr.M. CHIDAMBARAM Msc, Mphil, MBA, PhD (Asst.Proff) Rajah Serfoji Government Arts College,Tanjore ---------------------------------------------------------------------***--------------------------------------------------------------------ABSTRACT:A moving kNN query continuously reports the k results (restaurants) nearest to a moving query point (tourist). In addition to the query results, a ser...

The exploration of how human beings react to the world and interact with it and each other remains one of the greatest scientific challenges. The ability to recognize affective states of a person we face is the core of emotional intelligence. In the past, several classifiers were adopted independently and tested on several emotional speech corpora with different language, size, number of emotio...

Stunting in toddlers is defined as a condition of failure to thrive due chronic malnutrition the long term. The problem stunting Indonesia an issue that still concern for Indonesian government. prevalence quite high, coupled with COVID-19 pandemic which has had impact on economic sector. For this reason, research very important topic. This study aims classify toddler using k-Nearest Neighbor cl...

The sparse representation based classifier (SRC) is a classical representation method for classification. The solution of SRC is obtained by l1 norm minimization, which can not obtain the closed form solution. Thus, the computational complexity of SRC is a little high. The collaborative representation classifier (CRC) is another classical method for classification. The solution of CRC is obtain...

The incorporation method was employed to produce potassium sodium niobate [KNN] (K0.5Na0.5NbO3) glass ceramics from the KNN-SiO2 system. This incorporation method combines a simple mixed-oxide technique for producing KNN powder and a conventional melt-quenching technique to form the resulting glass. KNN was calcined at 800°C and subsequently mixed with SiO2 in the KNN:SiO2 ratio of 75:25 (mol%)...

Classification of spatial data streams is crucial, since the training dataset changes often. Building a new classifier each time can be very costly with most techniques. In this situation, k-nearest neighbor (KNN) classification is a very good choice, since no residual classifier needs to be built ahead of time. KNN is extremely simple to implement and lends itself to a wide variety of variatio...