Search Results - (( java implication based algorithm ) OR ( interpretation _ clustering algorithm ))

Optimized clustering with modified K-means algorithm by Alibuhtto, Mohamed Cassim

“…However, the choice of k is a prominent problem in the process of the k-means algorithm. In most cases, for clustering huge data, k is pre-determined by researchers and incorrectly chosen k, could end with wrong interpretation of clusters and increase computational cost. …”
Get full text
Get full text
Get full text
Get full text

Development Of Fall Risk Clustering Algorithm In Older People by Wong, Kam Kang

“…The proposed algorithm consists of several stages, includes data pre-processing, feature selection, feature extraction, clustering and characteristic interpretation. …”
Get full text
Get full text

Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering by Rashed, Alwatben Batoul

“…A clustering algorithm based on MOPSO-CD with a modified archive update mechanism (MCPSO-CD) was used to estimate the optimal number of clusters. …”
Get full text
Get full text

Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

“…The proposed fall risk clustering algorithm grouped the subjects according to features. …”
Get full text
Get full text

The Effect Of Linkages In The Hierarchical Clustering Of Auto-Regressive Algorithm For Defect Identification In Heat Exchanger Tubes by Abd Halim, Zakiah, Jamaludin, Nordin, Putra, Azma

“…The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. …”
Get full text
Get full text
Get full text

Biological-based semi-supervised clustering algorithm to improve gene function prediction by Kasim, Shahreen, Deris, Safaai, M. Othman, Razib, Hashim, Rathiah

“…However, commonclustering algorithms do not provide a comprehensive approach that look into the three categories of annotations; biologicalprocess, molecular function, and cellular component, and were not tested with different functional annotation database formats.Furthermore, the traditional clustering algorithms use random initialization which causes inconsistent cluster generation and areunable to determine the number of clusters involved. …”
Get full text
Get full text

Document clustering based on inverse document frequency measure by Wan Faridah Hanum, Wan Yaacob

“…An important finding in this study, where 30 cases of documents tested with the IDF algorithm, and the results are divided into three category; correct cluster, incorrect cluster, and unknown cluster.…”
Get full text
Get full text
Get full text
Get full text

Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
Get full text
Get full text

Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text

Rule Generation Based On Structural Clustering For Automatic Question Answering by Song , Shen

“…These usually result in rules that may require further interpretation and rules that may be redundant. To address these issues, an automatic structural rule generation algorithm is presented via clustering, where a center sentence-based clustering method is designed to automatically generate rules for QA systems.…”
Get full text
Get full text

Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach by Othman, Khairulnizam

“…In addition, a new image clustering algorithm anticipates the need for largescale serial and parallel processing. …”
Get full text
Get full text
Get full text
Get full text

Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster Analysis by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusainee

“…The present study explores the cluster analysis approach based on autoregressive (AR) coefficients to automatically interpret the AE signals. …”
Get full text
Get full text
Get full text

Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy by Mukil , Alagirisamy

“…In the extended ECH-DUAL algorithm in addition to dual sink a new cluster head selection method is proposed for unequal clustering. …”
Get full text
Get full text
Get full text

Ringed seal search for global optimization via a sensitive search model / Younes Saadi by Younes, Saadi

“…The obtained results show that the proposed algorithm can be used for data clustering.…”
Get full text
Get full text
Get full text

Pattern Recognition Approach Of Stress Wave Propagation In Carbon Steel Tubes For Defect Detection by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yusainee, Syed Yahya

“…The signals were then clustered using the feature extraction algorithms. …”
Get full text
Get full text
Get full text

Detection of tube defect using the autoregressive algorithm by Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yusainee, Syed Yahya

“…The preliminary research revealed the natural arrangement of stress wave signals were grouped into two clusters. The stress wave signals from the healthy tube were grouped together in one cluster and the signals from the defective tubes were classified in another cluster. …”
Get full text
Get full text
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong by Chong, Chun Yong

“…Even if maintainers possess additional information that could be useful to guide and improve the clustering results, traditional clustering algorithms have no way to take advantage of this information. …”
Get full text
Get full text

Modeling of vehicle trajectory clustering based on LCSS for traffic pattern extraction by Choong, Mei Yeen, Lorita Angeline, Chin, Renee Ka Yin, Yeo, Kiam Beng, Teo, Kenneth Tze Kin

“…The implementation of k-means and fuzzy c-means (FCM) clustering algorithm for vehicle flow analyzing task is served as focus in this paper. …”
Get full text
Get full text
Get full text
Get full text

Improved self-organizing map clustering of power transformer dissolved gas analysis using inputs pre-processing by Misbahulmunir S., Ramachandaramurthy V.K., Thayoob Y.H.M.D.

“…Clustering algorithms; Conformal mapping; Data visualization; Power transformers; Self organizing maps; Support vector machines; Data normalization methods; Detection sensitivity; Dissolved gas analyses (DGA); Dissolved gas analysis; High dimensional data; Incipient fault detection; Interpretation methods; Topological relations; Fault detection…”