NDLI: Detecting and Visualizing Profile Correlation in Subspace

Content Provider	IEEE Xplore Digital Library
Author	Xu, Xin Wang, Wei Chen, Xin
Copyright Year	2011
Abstract	In this paper, we propose a novel method for detecting and visualizing profile correlation in subspace. The proposed method is able to (1) detect shifting-and-scaling correlated profiles in subspace, where the correlation can be either positive or negative, (2) summarize and visualize the shifting-and-scaling correlation in subspace, and (3) allow users to explore interested correlation subspace interactively. Initially, shifting and scaling were regarded as two different correlation patterns, in which profiles in subspace can overlap by a single shifting and scaling respectively. In later work, a much more generous correlation, shifting-and-scaling correlation, was studied, compared to which, shifting correlation and scaling correlation are just two special cases. Shifting-and-scaling correlation ensures subspace profile coherence not only in tendency as those tendency-based methods do, but also in value change proportion in subspace. However, no work has been focused on visualization of subspace shifting-and-scaling correlation yet. Our work is the first one to enable interactive exploration and visualization of subspace shifting-and-scaling correlation.
Starting Page	104
Ending Page	109
File Size	204914
Page Count	6
File Format	PDF
ISBN	9781457701412
DOI	10.1109/ICIS.2011.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Data visualization Coherence Sensors Clustering algorithms Object recognition Electronic mail shifting-and-scaling correlation clustering visualization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Classification and recognition of detecting parameters for cement rotary kiln

Visualizing Graphs Using Minimum Spanning Dendrograms

/spl delta/-clusters: capturing subspace correlation in a large data set

Using Correlation Based Subspace Clustering for Multi-label Text Data Classification

Robust abnormity detecting and tracking using correlation coefficient

Biclustering multivariate data for correlated subspace mining

On hierarchical self-organizing networks visualizing data classification processes

Visualizing the Result of Fuzzy Clustering Using GIS

Finding Subspace Clusters Using Ranked Neighborhoods

Detecting and Visualizing Profile Correlation in Subspace

Similar Documents

Classification and recognition of detecting parameters for cement rotary kiln

Visualizing Graphs Using Minimum Spanning Dendrograms

/spl delta/-clusters: capturing subspace correlation in a large data set

Using Correlation Based Subspace Clustering for Multi-label Text Data Classification

Robust abnormity detecting and tracking using correlation coefficient

Biclustering multivariate data for correlated subspace mining

On hierarchical self-organizing networks visualizing data classification processes

Visualizing the Result of Fuzzy Clustering Using GIS

Finding Subspace Clusters Using Ranked Neighborhoods

Detecting and Visualizing Profile Correlation in Subspace